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3,146,379,401
I_kwDOOkuIPc67ifCJ
104
Invalid credentials in Authorization header
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2025-06-14T17:05:58
2025-06-14T17:08:05
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Hello everyone, I was unable to complete the [MCP clients step](https://github.com/huggingface/mcp-course/issues/104#issue-3146379401) using typescript due to the following **Error: Invalid credentials in Authorization header** ```bash eduardoworrel@MacBook-Pro-de-Eduardo MCP % huggingface-cli login _| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _| _|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_| _| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _| _| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_| A token is already saved on your machine. Run `huggingface-cli whoami` to get more information or `huggingface-cli logout` if you want to log out. Setting a new token will erase the existing one. To log in, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens . Enter your token (input will not be visible): Add token as git credential? (Y/n) y Token is valid (permission: fineGrained). The token `map` has been saved to /Users/eduardoworrel/.cache/huggingface/stored_tokens Your token has been saved in your configured git credential helpers (osxkeychain). Your token has been saved to /Users/eduardoworrel/.cache/huggingface/token Login successful. The current active token is: `map` eduardoworrel@MacBook-Pro-de-Eduardo MCP % npx @huggingface/tiny-agents run ./agent Agent loaded with 25 tools: - browser_close - browser_resize - browser_console_messages - browser_handle_dialog - browser_file_upload - browser_install - browser_press_key - browser_navigate - browser_navigate_back - browser_navigate_forward - browser_network_requests - browser_pdf_save - browser_take_screenshot - browser_snapshot - browser_click - browser_drag - browser_hover - browser_type - browser_select_option - browser_tab_list - browser_tab_new - browser_tab_select - browser_tab_close - browser_generate_playwright_test - browser_wait_for > do a Web Search for HF inference providers on Brave Search and open the first result and then give me the list of the inference providers supported on Hugging Face /Users/eduardoworrel/Documents/agents/MCP/node_modules/@huggingface/tiny-agents/dist/cli.js:120 throw err; ^ Error: Invalid credentials in Authorization header at innerStreamingRequest (/Users/eduardoworrel/Documents/agents/MCP/node_modules/@huggingface/inference/dist/commonjs/utils/request.js:57:23) at process.processTicksAndRejections (node:internal/process/task_queues:105:5) at async chatCompletionStream (/Users/eduardoworrel/Documents/agents/MCP/node_modules/@huggingface/inference/dist/commonjs/tasks/nlp/chatCompletionStream.js:13:5) at async Agent.processSingleTurnWithTools (/Users/eduardoworrel/Documents/agents/MCP/node_modules/@huggingface/mcp-client/dist/src/index.js:198:22) at async Agent.run (/Users/eduardoworrel/Documents/agents/MCP/node_modules/@huggingface/mcp-client/dist/src/index.js:328:9) at async mainCliLoop (/Users/eduardoworrel/Documents/agents/MCP/node_modules/@huggingface/tiny-agents/dist/cli.js:131:22) at async main (/Users/eduardoworrel/Documents/agents/MCP/node_modules/@huggingface/tiny-agents/dist/cli.js:301:5) Node.js v22.7.0 ```
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3,142,157,218
PR_kwDOOkuIPc6aUT2d
103
fix: markdown rendering in tips and extract constants
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/learn/mcp-course/pr_103). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]
2025-06-13T03:45:46
2025-06-13T07:04:06
2025-06-13T07:04:06
COLLABORATOR
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## Summary - Fix markdown rendering issues in Tip components by adding proper line breaks - Extract dictionaries as module-level constants for better code organization - Make code more pythonic with list comprehensions ## Changes ### Markdown Rendering Fixes - Added missing line breaks after `<Tip>` and `<Tip warning={true}>` tags and before closing `</Tip>` tags - This ensures markdown content (like **bold text**) renders properly inside tooltips - Fixed 5 Tip components across 4 MDX files in unit3 ### Code Quality Improvements (per @elie's review) - Extract `type_mapping` as `TYPE_MAPPING` constant ([review comment](https://github.com/huggingface/mcp-course/commit/72703c28e47da307015a00d5d287056803d4ee1f#r158071748)) - Extract `default_templates` as `DEFAULT_TEMPLATES` constant - Convert `get_pr_templates` loops to list comprehensions ([review comment](https://github.com/huggingface/mcp-course/commit/72703c28e47da307015a00d5d287056803d4ee1f#r158071738)) - Remove unused imports (`Dict`, `List`, `Any` from typing) - Fix unused exception variables ### Files Modified - 5 Python server files (build-mcp-server, github-actions-integration, slack-notification) - 4 MDX lesson files (introduction, build-mcp-server, github-actions-integration, slack-notification) ## Test plan - [x] Verify markdown renders correctly in Tip components - [x] Ensure all Python files run without import errors - [x] Confirm constants are properly used in all functions
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3,140,368,185
I_kwDOOkuIPc67Ljc5
102
unit 3: dead link MCP roots
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2025-06-12T13:45:45
2025-06-12T13:45:45
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Hi, in unit 3/Module 1, in the last item of the Troubleshooting section there is a dead link for MCP roots thanks for this challenging course!
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3,140,054,485
I_kwDOOkuIPc67KW3V
101
It did not auto select year in linkedin when I clicked Add to linkedin
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2025-06-12T12:13:17
2025-06-12T12:13:17
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![Image](https://github.com/user-attachments/assets/79324daa-7170-42a6-8746-e28a3f406a0c)
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3,138,547,628
I_kwDOOkuIPc67Em-s
100
MCP tool is returning a string representation of a dictionary rather than an actual dictionary object
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2025-06-12T02:06:52
2025-06-12T07:19:10
2025-06-12T07:19:10
CONTRIBUTOR
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Summary: The code example app.py in [Unit 2: Gradio Server](https://huggingface.co/learn/mcp-course/unit2/gradio-server) does not return json as intended. This causes an error when we run the agent in the following chapter. Details: The MCP tool presented in app.py is a sentiment analysis tool. Running the agent from [Unit 2: Gradio Client](https://huggingface.co/learn/mcp-course/unit2/gradio-client#complete-example) with the prompt "Analyze the sentiment of the following text "This is awesome"" gives the following results ```bash * Running on local URL: http://127.0.0.1:7861 * To create a public link, set `share=True` in `launch()`. โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ New run โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ โ”‚ โ”‚ โ”‚ Analyze the sentiment of the following text "This is awesome" โ”‚ โ”‚ โ”‚ โ•ฐโ”€ InferenceClientModel - Qwen/Qwen2.5-Coder-32B-Instruct โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Step 1 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โ”€ Executing parsed code: โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ sentiment_result = sentiment_analysis(text="This is awesome") print(sentiment_result) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ Execution logs: root={'polarity': 1.0, 'subjectivity': 1.0, 'assessment': 'positive'} Out: None [Step 1: Duration 3.17 seconds| Input tokens: 2,046 | Output tokens: 51] โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Step 2 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Error in code parsing: Your code snippet is invalid, because the regex pattern ```(?:py|python)?\s*\n(.*?)\n``` was not found in it. Here is your code snippet: Observation: Make sure to include code with the correct pattern, for instance: Thoughts: Your thoughts Code: ```py # Your python code here ```<end_code> Make sure to provide correct code blobs. [Step 2: Duration 0.94 seconds| Input tokens: 4,245 | Output tokens: 54] โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Step 3 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โ”€ Executing parsed code: โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ sentiment_result = sentiment_analysis(text="This is awesome") print(sentiment_result) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ Execution logs: root={'polarity': 1.0, 'subjectivity': 1.0, 'assessment': 'positive'} Out: None [Step 3: Duration 3.07 seconds| Input tokens: 6,574 | Output tokens: 115] โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Step 4 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โ”€ Executing parsed code: โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ final_answer(sentiment_result['assessment']) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ Code execution failed at line 'final_answer(sentiment_result['assessment'\])' due to: InterpreterError: Could not index root={'polarity': 1.0, 'subjectivity': 1.0, 'assessment': 'positive'} with 'assessment': TypeError: string indices must be integers, not 'str' [Step 4: Duration 4.00 seconds| Input tokens: 9,066 | Output tokens: 192] โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Step 5 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โ”€ Executing parsed code: โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ print(type(sentiment_result)) print(sentiment_result) final_answer(sentiment_result['assessment']) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ Execution logs: <class 'str'> root={'polarity': 1.0, 'subjectivity': 1.0, 'assessment': 'positive'} Code execution failed at line 'final_answer(sentiment_result['assessment'\])' due to: InterpreterError: Could not index root={'polarity': 1.0, 'subjectivity': 1.0, 'assessment': 'positive'} with 'assessment': TypeError: string indices must be integers, not 'str' [Step 5: Duration 4.26 seconds| Input tokens: 11,789 | Output tokens: 276] โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Step 6 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โ”€ Executing parsed code: โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ import re # Parse the string to extract the sentiment assessment sentiment_dict = eval(sentiment_result) final_answer(sentiment_dict['assessment']) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ Code execution failed at line 'sentiment_dict = eval(sentiment_result)' due to: InterpreterError: Forbidden function evaluation: 'eval' is not among the explicitly allowed tools or defined/imported in the preceding code [Step 6: Duration 3.83 seconds| Input tokens: 14,799 | Output tokens: 348] โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Step 7 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โ”€ Executing parsed code: โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ import re # Use regular expression to extract the sentiment assessment match = re.search(r"'assessment':\s*'([^']*)'", sentiment_result) if match: assessment = match.group(1) final_answer(assessment) else: final_answer("Unable to extract assessment") โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ Out - Final answer: positive [Step 7: Duration 5.12 seconds| Input tokens: 18,038 | Output tokens: 442] Error in sse_reader: peer closed connection without sending complete message body (incomplete chunked read) ``` This is taken from the log of the agent when I tried to run it The sentiment_analysis tool is returning a string that looks like a dictionary ("root={'polarity': 1.0, 'subjectivity': 1.0, 'assessment': 'positive'}") instead of returning an actual Python dictionary object. See for example the following excerpt from the logs ``` <class 'str'> root={'polarity': 1.0, 'subjectivity': 1.0, 'assessment': 'positive'} ``` The agent tries to use dictionary indexing on a string and fails. I opened this [PR](https://github.com/huggingface/mcp-course/pull/99) to suggest a fix.
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https://api.github.com/repos/huggingface/mcp-course/issues/99
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PR_kwDOOkuIPc6aH_gt
99
fix mcp server to return json
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2025-06-12T02:01:15
2025-06-12T13:47:37
2025-06-12T07:19:10
CONTRIBUTOR
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null
fix https://github.com/huggingface/mcp-course/issues/100
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3,138,464,817
PR_kwDOOkuIPc6aHxAe
98
change client example to demonstrate usage of tool
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[ "Glad to help. Thank you for making the course! " ]
2025-06-12T01:04:54
2025-06-12T13:47:19
2025-06-12T07:19:52
CONTRIBUTOR
null
null
null
fix https://github.com/huggingface/mcp-course/issues/97
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97
Gradio client example is confusing
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2025-06-12T00:28:56
2025-06-12T07:19:53
2025-06-12T07:19:53
CONTRIBUTOR
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In the " Gradio as an MCP Client" section ["Connect to your MCP Server from Gradio"](https://huggingface.co/learn/mcp-course/unit2/gradio-client#connect-to-your-mcp-server-from-gradio) it says "Great, now that youโ€™ve connected to an example MCP Server, letโ€™s connect to your own MCP Server from Gradio." Reading this I assume "your own MCP Server from Gradio" is the server we built in the section "Building the Gradio MCP Server" which is a sentiment analysis tool. Yet the complete [mcp client example](https://huggingface.co/learn/mcp-course/unit2/gradio-client#complete-example) is about prime factorization. I believe it should be about a task related to sentiment analysis to demonstrates the use of the tool we created in the mcp server example earlier. I opened a PR here https://github.com/huggingface/mcp-course/pull/98 with a small fix for it. This inconsistency in the client example is also mentioned in PR https://github.com/huggingface/mcp-course/pull/96 but the suggested fix is not aligned with the goal of the chapter.
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3,132,794,379
PR_kwDOOkuIPc6Z0VXh
96
Minor changes in text, URLs, and code comments, to make things less confusing
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2025-06-10T09:15:33
2025-06-12T07:20:36
2025-06-12T07:20:36
CONTRIBUTOR
null
null
null
- Fixed the MCP server URL, it was a link that no longer exists - Removed "localhost" referencing since we have never built this MCP server in previous sections, used the correct remote MCP server - Removed references of building this MCP server in a previous section, which it didn't happen, previous section was about a simple sentiment analysis MCP server
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95
Update gradio-client.mdx
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2025-06-10T08:26:11
2025-06-12T14:15:22
2025-06-12T14:15:22
CONTRIBUTOR
null
null
null
Minor bug fix, updated the URL of the MCP server, old one no longer exists.
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unit 2 - cursor IDE integration
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[ "On which system are you?\nOn my Windows machine with Cursor 1.0.1, I am still able to run my config. Your config is also working fine on my system.\nOn the other hand, in the WSL2 (Linux) environment, I don't manage to run both configs!\nNote: I was the PR author to include the Cursor IDE integration section in th...
2025-06-09T22:36:17
2025-06-11T06:47:58
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hi, as a heads up i wasn't able to make the example run using `mcp-remote` with cursor, however the fact that Cursor only support local servers via stdio transport is no longer true, I was able to connect to my hf space hosted MCP server by changing the configuration to: ``` { "mcpServers": { "sentiment-analysis": { "url": "https://jckr-mcp-sentiment.hf.space/gradio_api/mcp/sse", "headers": { "Accept": "text/event-stream" }, "autoExecute": true, "trusted": true } } } ```
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93
Be upfront about course requirments.
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[ "From units/en/unit3/build-mcp-server.mdx:\nFrom 3. Start implementing!\n\n```\nOpen server.py and follow the TODO comments to implement each tool.\n\nNote: The starter code includes stub implementations that return \"Not implemented\" errors. This allows you to:\n\n Run the server immediately\n Test your set...
2025-06-09T18:11:05
2025-06-12T02:52:29
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Unit 3 requires much more that Unit 0 : To be able to follow this course, you should have: Basic understanding of AI and LLM concepts Familiarity with software development principles and API concepts Experience with at least one programming language (Python or TypeScript examples will be shown)
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3,130,694,168
I_kwDOOkuIPc66mpoY
92
Video showing as still image in the Unit 1: MCP Clients Page
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2025-06-09T15:45:51
2025-06-09T15:45:51
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On [this page](https://huggingface.co/learn/mcp-course/en/unit1/mcp-clients) the text says that there is a video showing the playwright mcp server in action. However, it shows in my browser as a still image that I can't view. (Chrome, Apple Silicon)
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3,128,956,958
I_kwDOOkuIPc66gBge
91
Too much Too fast?
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2025-06-09T02:33:36
2025-06-09T02:38:38
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I'm just scratching the surface looking into Unit 3 in release/unit3 branch and I'm thinking this is crazy jump in complexity. It is like unit 2 was MCP101 but Unit 3 is advanced graduate course level. By the way, congratulations on building course following of over 16000. WOW just WOW!
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PR_kwDOOkuIPc6Zmnzb
90
docs: add screencasts demonstrating MCP server functionality in Unit 3
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2025-06-08T23:28:15
2025-06-10T07:58:40
2025-06-10T07:58:40
COLLABORATOR
null
null
null
## Summary - Added video screencasts to Unit 3 documentation showing MCP server features in action - Updated Slack notification format for better readability with rotating_light emoji - Enhanced webhook implementation to properly support Slack markdown formatting ## Changes - **Documentation**: Added screencasts to all three Unit 3 modules demonstrating: - PR chaos problem and the MCP solution - Real-time CI/CD monitoring with GitHub Actions - Complete automation system with Slack notifications - **Code improvements**: - Updated Slack notification template to use cleaner format - Added explicit `mrkdwn: true` to Slack webhook payload - **Housekeeping**: Added videos/ directory to .gitignore ## Note on video hosting @burtenshaw - The screencasts are currently hosted at https://huggingface.co/datasets/mcp-course/videos but there seems to be an issue with LFS preventing the videos from being playable directly. Could we either: 1. Disable LFS for the videos dataset and its subdirectories so videos can be streamed directly, or 2. Consider hosting the videos elsewhere? This would ensure the screencasts load correctly in the documentation.
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3,128,628,216
PR_kwDOOkuIPc6ZmKe1
89
Fix indefinite article: โ€œa MCP serverโ€ โ†’ โ€œan MCP serverโ€
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2025-06-08T19:13:32
2025-06-12T14:16:00
2025-06-12T14:16:00
CONTRIBUTOR
null
null
null
**Fix**: `a MCP server` โ†’ `an MCP server` Because **M** is pronounced โ€œem,โ€ it starts with a vowel sound, so the correct article is **an**. Ref: *Chicago Manual of Style* Q&A โ€” โ€œthe choice of **a/an** is determined by how the abbreviation is read aloud.โ€ <https://www.chicagomanualofstyle.org/qanda/data/faq/topics/Abbreviations/faq0010.html>
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3,127,915,730
PR_kwDOOkuIPc6ZjylM
88
Update unit2 gradio-client.mdx
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[ "We fixed this elsewhere, but thanks!" ]
2025-06-08T04:41:13
2025-06-12T14:17:09
2025-06-12T14:17:08
NONE
null
null
null
fixed typo in the link
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87
The video doesn't work in MCP clients section
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2025-06-08T02:38:36
2025-06-08T02:38:36
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<img width="1016" alt="Image" src="https://github.com/user-attachments/assets/baced9c0-c24e-45f9-8a19-6d1f114e3dfc" />
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I_kwDOOkuIPc66VmD4
86
tiny-agents section feels distinct from the rest of the article, unit 1: mcp-clients
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2025-06-07T01:11:36
2025-06-07T01:11:36
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See title. The instructions don't clearly link the use of agents.json / tiny-agents to the mcp clients I think. Forgive my ignorance here, but without more clearly linking the two, It feels a bit more like an advertisement for huggingface's products. The layout of the agents.json file is a bit distinct from the examples of mcp.json files given above, and it isn't clear what each of the fields actually does.
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3,125,189,660
I_kwDOOkuIPc66Rpwc
85
Error: write EPIPE and Error: spawn uv ENOENT after click Connect
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[ "problem solved. just need to install uv." ]
2025-06-06T15:56:47
2025-06-07T03:27:24
2025-06-07T03:27:24
NONE
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after run "mcp dev server.py" ![Image](https://github.com/user-attachments/assets/28d65b71-bbef-4b76-a72d-cdfd96238aec) click Connect, I get this error message: ![Image](https://github.com/user-attachments/assets/c0179eb3-2bde-43a7-ab58-04c4b1359a3f)
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3,121,346,426
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84
docs: improve SDK documentation structure and fix JavaScript server startup commands
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[ "@burtenshaw PTAL" ]
2025-06-05T13:52:42
2025-06-12T14:17:56
2025-06-12T14:17:56
CONTRIBUTOR
null
null
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- Add filename comments to JavaScript code blocks for better clarity - Reorganize code examples to improve readability and flow - Fix JavaScript server startup command from 'mcp dev server.py' to 'npx @modelcontextprotocol/inspector node ./index.mjs' - Ensure consistency between English and Vietnamese documentation versions
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83
[RELEASE] Unit 3 and 3.1 for 12/6/25
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/mcp-course/pr_83/en/unit1/introduction). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]
2025-06-05T09:03:24
2025-06-12T07:18:13
2025-06-12T07:18:13
COLLABORATOR
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unit2/gradio-client.mdx - reference to local MCP server seems like it's no longer accurate(?)
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[ "I have the same doubt" ]
2025-06-04T20:08:18
2025-06-11T16:50:20
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Thanks for this course. I'm working through it, and in `unit2/gradio-client.mdx`, this part ``` mcp_client = MCPClient( {"url": "http://localhost:7860/gradio_api/mcp/sse"} # This is the MCP Server we created in the previous section ) ``` isn't clear to me. Potentially the previous section has now been changed as I didn't create a server with a prime factorisation tool in the previous section ( it was a sentiment analysis tool) I can get the client working by replacing that local URI with the one to `https://abidlabs-mcp-tools2.hf.space/gradio_api/mcp/sse` Could be that I'm just misunderstanding {?). Happy to make the change if one is needed
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[SECTION] Add Continue to MCP Clients section
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[ "@bdougie This looks great, we have a release on 6/12/25, do you think you could make this unit for that? If not we can release independently. ", "@burtenshaw I've pushed up the first draft. If you have a moment to check it out to see if it fits the tone of the rest of the course, all feedback is welcomed. \r\n\r...
2025-06-04T19:20:53
2025-06-12T14:11:27
2025-06-12T14:11:27
CONTRIBUTOR
null
null
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Hey @burtenshaw. I am starting with a small TOC update. ## The Plan I've just joined Continue and in progress on updating our [MCP docs](https://docs.continue.dev/customize/deep-dives/mcp). I'd love to add some content to the course that assist in show how to use MCP servers in production. ## Future Scope Add more content on building coding related MCP servers using HuggingFace.
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Update clients.mdx (local/remote confusion)
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2025-06-04T17:48:38
2025-06-04T18:50:22
2025-06-04T18:50:15
NONE
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Edited transport type to `stdio` from `sse`, where the script was trying to connect to a local server
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Help with deployed instances accessing the inference models with API_KEYS
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2025-06-03T15:20:11
2025-06-03T15:20:11
null
CONTRIBUTOR
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I see the following error when following the guide - https://huggingface.co/learn/mcp-course/unit2/gradio-client smolagents.utils.AgentGenerationError: Error in generating model output: You must provide an api_key to work with together API or log in with huggingface-cli login. I had created a PR to address some more small things, was planning to add it there, if someone can figure this part out. PR - https://github.com/huggingface/mcp-course/pull/78
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78
Update Instructions for deploying MCP-Client in Section 2
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[ "Can someone also help me updating the instructions for the deployed instances to refer to HF inference models? It doesnt look like its able to pick the access token through env var \r\n\r\nsmolagents.utils.AgentGenerationError: Error in generating model output:\r\nYou must provide an api_key to work with together ...
2025-06-03T15:17:39
2025-06-12T14:19:15
2025-06-12T14:19:15
CONTRIBUTOR
null
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This PR updates some instructions to help viewers be able to successfully deploy their MCP-Client as part of Section2 under https://huggingface.co/learn/mcp-course/unit2/gradio-client
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77
Fix broken links in mcp-course/units/en/unit2/gradio-client.mdx
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[ "Fixed another broken link, in the tiny-agents.mdx file, under Unit 2 of the MCP course. The link was referring to the MCP Clients chapter from Unit 1\r\n\r\nChanged link from:-\r\n\r\n1. https://huggingface.co/learn/mcp-course/en/unit1/mcp-clients.mdx\r\n\r\nChanged link to:-\r\n\r\n1. https://huggingface.co/learn...
2025-06-03T14:24:13
2025-06-12T14:16:52
2025-06-12T14:16:51
NONE
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Under Unit 2 of the MCP course, in the Building an MCP client with Gradio chapter, 2 links were broken The links are referring to:- 1. https://huggingface.co/spaces/abidlabs/mcp-tools2 2. https://abidlabs-mcp-tools2.hf.space/gradio_api/mcp/sse Fixed to the links to the correct ones, which are:- 1. https://huggingface.co/spaces/abidlabs/mcp-tools 2. https://abidlabs-mcp-tools.hf.space/gradio_api/mcp/sse
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Tiny agents section was missing an end tag, making both Py and JS insโ€ฆ
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2025-06-03T03:57:07
2025-06-03T08:39:22
2025-06-03T08:39:22
CONTRIBUTOR
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โ€ฆtructions appear in sequence. ![image](https://github.com/user-attachments/assets/cde5a681-c374-4991-b84b-af00610796bc)
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update abidlabs space
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/learn/mcp-course/pr_75). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]
2025-06-02T09:19:49
2025-06-02T09:29:12
2025-06-02T09:29:12
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Co-authored-by: neonwatty
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Make-mcp-client-usage-consistent
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2025-06-02T08:59:01
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Update sdk.mdx
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[ "@burtenshaw Some minor edits", "Thanks!" ]
2025-05-31T13:35:16
2025-05-31T15:09:35
2025-05-31T15:09:35
CONTRIBUTOR
null
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Added appropriate comments to the Python code. Similarly to the JavaScript code.
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72
Unit 1 update gradio mcp client endpoint to work around mcp 1.9.0 breaking change
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[ "pinging @abidlabs just in case", "Thanks @neonwatty . This is really use because we received some community queries. \r\n\r\nI'm actually changing the mcp clients in unit 1 to not use `smolagents`, and instead jus `InferenceClient`. Therefore, I've brought your changes into unit 2 instead, where we use this spac...
2025-05-30T15:36:15
2025-06-02T09:28:21
2025-06-02T09:28:20
CONTRIBUTOR
null
null
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`mcp` 1.9.0 has a [breaking change for gradio mcp endpoints currently under investigation](https://github.com/gradio-app/gradio/issues/11225#issuecomment-2893381049). The example gradio endpoint in unit 1 `https://abidlabs-mcp-tools.hf.space/gradio_api/mcp/sse` uses this latest version and returns `404` errors at present when invoked via the example code. This PR replaces the endpoint with a duplicated space created by the same author `https://abidlabs-mcp-tools2.hf.space/gradio_api/mcp/sse` that pins `mcp` to `1.8.1`, avoiding the breaking change allowing the example to function as expected. This is a temporary solution but at least prevents `404` returns from the current endpoint. It likewise addresses #57.
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fixed the error message "not a valid arg for chatInference"
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2025-05-30T10:42:45
2025-06-02T09:30:21
2025-06-02T09:30:21
CONTRIBUTOR
null
null
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and 401 Client Error: Unauthorized for URL. In the course content under unit 2, gradio-client. `Message = [ ]` was passed to chatInference which was giving error. Secondly, I observed if the API key is not passed to the model initialization of `InferenceClientModel()` there was also an error there. to fix it I had to pass in my API token to resolve the error.
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[ENHANCEMENT] add python tiny agents
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/learn/mcp-course/pr_70). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "love it! cc @wauplin @hanouticelina โค๏ธ\r\n\r\nNote that both Python and JS implems of ...
2025-05-30T08:31:42
2025-05-30T14:48:40
2025-05-30T09:05:13
COLLABORATOR
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[UNIT] Unit 3.1 on building a PR bot with
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/mcp-course/pr_69/en/unit3_1/introduction). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]
2025-05-30T08:23:47
2025-06-05T09:02:36
2025-06-05T09:02:36
COLLABORATOR
null
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This PR is intended to follow https://github.com/huggingface/mcp-course/pull/50 It is a walkthrough tutorial based on [this space](https://huggingface.co/spaces/mcp-course/tag-this-repo) which tags repos based on discussion items.
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68
Update mcp-clients.mdx pubmedmcp example
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[ "thanks!" ]
2025-05-29T16:20:32
2025-05-30T08:46:32
2025-05-30T08:46:26
CONTRIBUTOR
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Updates to `pubmedmcp` example for easier setup and usage, including: - explicitly mention required installs (`mcp[cli]`, `smolagents[toolkit]`, and `smolagents[mcp]`) - use `uv` instead of `uvx` to remove the need to manually install `pubmedclient` in order to use `pubmedmcp@0.1.3` and better isolating the tool usage - pass [required arg `model`](https://github.com/huggingface/smolagents/blob/6a12ebdf210207eec22d5940157f522463fc1c59/src/smolagents/agents.py#L1345) to `CodeAgent` init to prevent `TypeError: CodeAgent.__init__() missing 1 required positional argument: 'model'`with current implementation - import and add init for `model = InferenceClientModel()` to pass to `CodeAgent`
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[TRANSLATION] added-turkish-readme
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2025-05-29T14:16:44
2025-06-05T11:22:02
2025-06-05T11:22:02
NONE
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added turkish readme file "README_tr.md"
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66
Fix minor typo in mcp-clients.mdx
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[ "thanks!" ]
2025-05-29T01:44:51
2025-05-30T08:47:29
2025-05-30T08:47:29
CONTRIBUTOR
null
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Change redundant โ€œin within codeโ€ to โ€œwithin codeโ€
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Add new unit: AI Memory MCP servers
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2025-05-28T18:24:33
2025-05-28T18:24:33
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Hello, I am a founder of cognee, an [AI memory tool ](https://github.com/topoteretes/cognee)with an active MCP server implementation that allows any tool, coding assistant and more to create a memory layer on top of vector and graph stores. I'd like to propose a section in the course that would teach the students the following: 1. How to set up portable MCP AI memory server they can re-use and enrich between flows, copilots, agents 2. How to load custom rules and instructions to the server 3. How to search their data and visualize it, and provide Human in the loop type feedback <img width="834" alt="Image" src="https://github.com/user-attachments/assets/382af657-da5f-4339-b7ee-5e534e31d09e" />
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64
Update tiny-agents.mdx
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2025-05-26T18:17:56
2025-05-30T08:47:44
2025-05-30T08:47:44
CONTRIBUTOR
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Updating the mcp-remote npm scripts. Fixes the following errors: @mcpjs/mcp-remote is not in the npm registry, or you have no permission to fetch it. Not Found - GET https://registry.npmjs.org/@mcpjs%2fmcp-remote - Not found
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Update gradio-client.mdx
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[ "I think we can do this in a simpler way, or leave it out of the tutorial." ]
2025-05-26T17:53:51
2025-05-30T08:48:50
2025-05-30T08:48:13
CONTRIBUTOR
null
null
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Initializing the mcp_client outside of the try block to ensure it's in scope for the finally block.
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Connecting to remote server
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2025-05-26T08:19:48
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When I followed the last section of Unit 2 step by step, it didn't work properly๏ผŒi don't know how to use, please help me. ![Image](https://github.com/user-attachments/assets/c5fea112-0641-47e4-ba91-97363708cc40) ![Image](https://github.com/user-attachments/assets/0fec84d1-566d-41b6-b57a-0a69155572bf)
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Quiz answers are checkbox but should be radio
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2025-05-25T17:51:42
2025-05-25T17:51:42
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Right now the quiz answers are checkboxes. However, only one option is correct. I guess to make it more clear the checkboxes should be replaced by radio buttons. Alternatively you have multiple answers for a question ๐Ÿ™ƒ
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Add Cursor integration to unit2
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[ "This is. cool example, but could it be integrated with the existing mcp-clients page?", "Done what you suggested. And indeed, the new location is better.", "Nice work. Thanks!" ]
2025-05-25T17:34:25
2025-06-02T09:48:10
2025-06-02T09:35:10
CONTRIBUTOR
null
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Add a documentation for integrating the MCP sentiment analysis server with Cursor AI editor, enhancing the course content in unit 2 with a practical, modern development workflow integration. ## What Changed - **Added `cursor-host.mdx`** in `units/en/unit2/` with detailed Cursor AI integration guide - **Updated `_toctree.yml`** to include the new page in the unit 2 navigation structure
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Changed MCP client code example to support access token
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2025-05-25T14:15:40
2025-06-02T09:37:28
2025-06-02T09:37:27
CONTRIBUTOR
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### This PR is created to handle the following: - Updated the sample client code - Added support to use Hugging Face access token - Without using the access token, access to the default inference model is restricted
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[TRANSLATION] portuguese and hebrew documentation for hugging face mcp course
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2025-05-24T21:35:57
2025-06-02T09:38:31
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NONE
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LGTM
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[WORKAROUND] to unit 2 gradio client script: Error in post_writer: Client error '404 Not Found'
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2025-05-24T14:48:39
2025-05-24T14:59:20
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CONTRIBUTOR
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Error: ``` Error in post_writer: Client error '404 Not Found' for url 'https://abidlabs-mcp-tools.hf.space/gradio_api/mcp/gradio_api/mcp/messages/?session_id=dab13c163c804b6d8a3f952ab13580ce' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404 ``` A potential workaround can be found here: https://github.com/gradio-app/gradio/issues/11225#issuecomment-2893381049 --- You can duplicate the space: https://abidlabs-mcp-tools.hf.space/gradio_api and set the mcp version to 1.8.1 in the requirements.txt (`mcp==1.8.1`) and run the app. Then replace the mcp server URL to: `https://<YOUR_USERNAME>-mcp-tools.hf.space/gradio_api/mcp/sse`
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Removed unused import from unit 2 gradio client section
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[ "Thanks, but this page is since refactored." ]
2025-05-24T14:33:38
2025-06-02T09:39:12
2025-06-02T09:39:11
CONTRIBUTOR
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- Removed unused import from unit 2 gradio client section
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Not able to access qwen inference model: Invalid username of password
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[ "I was able to fix this by adding a hugging face access token and modifying the inferenceClient instantiation to use the token field. \n\nnote sure whether this is the right fix, \nif it is, then is probably a good idea to add this to the completed code. \n\nfix:\n\n- generate [HF token](https://huggingface.co/docs...
2025-05-24T05:43:18
2025-05-24T05:53:02
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CONTRIBUTOR
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With the code provided for [client app.py](https://github.com/huggingface/mcp-course/blob/main/units/en/unit2/gradio-client.mdx#complete-example) I am not able to access the inference model. Error message: ```bash raise AgentGenerationError(f"Error in generating model output:\n{e}", self.logger) from e smolagents.utils.AgentGenerationError: Error in generating model output: 401 Client Error: Unauthorized for url: https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions (Request ID: Root=1-68315bcf-3b94db0e1523ae07246e9ef4;27f23374-cd3d-4a0e-b756-09d3dba4bcf7) Invalid username or password. ``` Have the same issue while running the client from hugging face client as well
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request exampe - "arguments" field - confusing
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2025-05-23T09:37:20
2025-05-23T09:37:20
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I do not understand the "arguments" field in the JSON-RPC request example https://huggingface.co/learn/mcp-course/unit1/communication-protocol `{ "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "weather", "arguments": { "location": "San Francisco" } } }` I thought that the "method" field contains the name of the method to call. Yes, it is a very obscure name for a method "tools/call", so I have doubts. I checked https://www.jsonrpc.org/specification#request_object and there is no "arguments" in the examples and "method" really contains the name of the method-to-be-called". So I can not imagine, what this "arguments" field is for. I rather think this would be enough: `{ "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "location": "San Francisco" } }`
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Create unit1-recap.mdx
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2025-05-23T02:14:08
2025-06-02T09:39:42
2025-06-02T09:39:42
CONTRIBUTOR
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This is a relatively long Unit I think a recap before the test would make sense
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Issue with MCP version
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[ "Maybe this bug is related to https://github.com/gradio-app/gradio/issues/11225 ?\n\nAlso, please see https://github.com/huggingface/mcp-course/issues/32 and https://github.com/huggingface/mcp-course/issues/49", "what about just adding a hard requirement of \n```bash\nmcp==1.8.1\n```\nin requirements.txt" ]
2025-05-22T13:29:58
2025-05-24T05:36:22
null
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When building an MCP client with Gradio, although the MCP server is running and the client is directing to the correct URL, I get a 404. Changing the version of 'mcp' from 1.9.0 to 1.8.1 resolves the issue, but it is something that is not mentioned anywhere. Maybe an idea to investigate where this issue stems from and make trainees aware of this issue.
null
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51
[UPDATE] Add quizzes to unit 1
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/learn/mcp-course/pr_51). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]
2025-05-22T11:52:53
2025-05-22T12:00:21
2025-05-22T12:00:21
COLLABORATOR
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[UNIT] Unit 3: Advanced MCP Development - Custom Workflow Servers
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[ "@zealoushacker looks good, but I would just make these high level changes to simplify things a bit (for us and students):\r\n\r\n- drop all unit 4 pages and content from the PR just to keep reviewing easy (including cloudflare integration)\r\n- following @Vaibhavs10 's feedback on #39 , I would focus more on free ...
2025-05-21T21:04:09
2025-06-05T08:58:10
2025-06-05T08:58:10
COLLABORATOR
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# Unit 3: Advanced MCP Development - Custom Workflow Servers This PR completes Unit 3, which teaches learners to build practical MCP servers that enhance Claude Code with custom development workflows. The unit demonstrates all core MCP primitives (Tools and Prompts) through a progressive 3-module structure. ## ๐Ÿ—๏ธ What Learners Build A **PR Agent Workflow Server** that transforms Claude Code into a team-aware development assistant: - **Smart PR Management**: Automatic template selection based on code changes - **CI/CD Monitoring**: Real-time GitHub Actions tracking with formatted summaries - **Team Communication**: Intelligent Slack notifications with rich formatting ## ๐Ÿ“š Module Overview ### Module 1: Build MCP Server (45 min) **Focus**: MCP Tools fundamentals - **What**: Basic MCP server with file analysis and PR template suggestion - **Tools**: `analyze_file_changes`, `get_pr_templates`, `suggest_template` - **Learning**: Tool registration, schema definition, letting Claude make intelligent decisions - **Outcome**: Claude can analyze code changes and recommend appropriate PR templates ### Module 2: GitHub Actions Integration (45 min) **Focus**: MCP Prompts and webhook integration - **What**: Webhook server + CI/CD monitoring with standardized workflows - **Tools**: `get_recent_actions_events`, `get_workflow_status` - **Prompts**: `analyze_ci_results`, `create_deployment_summary`, `troubleshoot_workflow_failure` - **Learning**: Prompt templates, workflow consistency, Cloudflare Tunnel integration - **Outcome**: Claude can monitor CI/CD pipelines and provide standardized team reports ### Module 3: Slack Notification (45 min) **Focus**: Tools + Prompts integration - **What**: Complete team communication system combining all MCP primitives - **Tools**: `send_slack_notification` (with proper error handling) - **Prompts**: `format_ci_failure_alert`, `format_ci_success_summary` - **Learning**: External API integration, security best practices, development patterns - **Outcome**: Claude can send professional team notifications with rich Slack formatting ## ๐ŸŽฏ Progressive Learning Design Each module builds on the previous, demonstrating MCP primitive progression: 1. **Tools** โ†’ Claude can call functions and get structured data 2. **Prompts** โ†’ Claude can follow standardized workflows consistently 3. **Integration** โ†’ All primitives work together for complex automation ## โœจ Key Features ### Real-World Applicability - **Development patterns**: Proper error handling, security, environment variables - **Team workflows**: Actual automation teams can deploy and use - **Free tooling**: Slack, GitHub Actions, Cloudflare Tunnel (no paid services) ### Enhanced Testing Experience - **No setup barriers**: curl commands simulate GitHub webhooks - **Quick verification**: 5-10 minute end-to-end testing - **Complete workflows**: From webhook events โ†’ formatted Slack messages ### Security & Best Practices - **Environment variables**: Secure webhook URL handling - **Error handling**: Network timeouts, invalid URLs, missing config - **Input validation**: Proper API integration patterns ## ๐Ÿ“ Project Structure ``` projects/unit3/ โ”œโ”€โ”€ build-mcp-server/ # Module 1: Tools โ”‚ โ”œโ”€โ”€ starter/ # File analysis + template suggestion โ”‚ โ””โ”€โ”€ solution/โ”œโ”€โ”€ github-actions-integration/ # Module 2: Promptsโ”‚ โ”œโ”€โ”€ starter/ # Webhook + CI monitoring โ”‚ โ””โ”€โ”€ solution/ โ”œโ”€โ”€ slack-notification/ # Module 3: Integration โ”‚ โ”œโ”€โ”€ starter/ # Team communication โ”‚ โ””โ”€โ”€ solution/ โ”œโ”€โ”€ templates/ # PR templates (bug, feature, docs, etc.) โ””โ”€โ”€ team-guidelines/ # Coding standards, PR guidelines ``` ## ๐Ÿ”„ Refinements from Original Plan - **Streamlined scope**: 3 focused modules instead of 5 (more achievable) - **Removed complexity**: Hugging Face Hub integration moved to separate PR #69 - **Enhanced testing**: Complete manual testing without GitHub repo setup - **Improved security**: Explicit guidance for webhook handling ## โœ… Learning Outcomes By completing Unit 3, learners will: 1. **Master MCP primitives**: Hands-on experience with Tools and Prompts 2. **Build functional servers**: Proper structure, error handling, security 3. **Integrate external APIs**: GitHub Actions, Slack webhooks 4. **Understand workflow automation**: How MCP enables intelligent team processes 5. **Apply best practices**: Security, testing, development patterns **Total time**: ~2.5 hours | **Prerequisites**: Units 1 & 2 | **Difficulty**: Intermediate This unit provides the foundation for building sophisticated MCP servers that enhance development team workflows with intelligent automation. ## ๐Ÿš€ Next Steps (Separate PR) After this foundational implementation is reviewed and approved, the following enhancements will be added in a follow-up PR to prepare for launch: ### Visual Learning Materials - **Screencasts**: Step-by-step video walkthroughs for each module showing: - MCP server setup and connection to Claude Code - Real-time tool and prompt execution - End-to-end workflow demonstrations - **Screenshots**: Key UI moments and expected outputs at each step ### Enhanced Learner Experience - **Detailed walkthroughs**: More granular step-by-step instructions with learner perspective focus - **Troubleshooting sections**: Expanded common issues and solutions - **Progress checkpoints**: Clear validation points throughout each module ### Launch Preparation - **Manual end-to-end testing**: Complete learner journey validation - **Instruction polishing**: Clarity improvements based on testing feedback - **Final review cycle**: Ensuring optimal learner experience ### Parallel Development - **HF Hub Module**: Being developed separately as "Unit 3.1" by @burtenshaw in [PR #69](https://github.com/huggingface/mcp-course/pull/69) - **No dependencies**: This Unit 3 implementation is complete and standalone
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Cursor MCP Host can't connect to local Gradio MCP server with SSE
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[ "Refer to issue #32 which closed this problem. Essentially, use mcp==1.8.1 instead of the newest version (if the newest version still has the same connection problem). " ]
2025-05-21T18:19:34
2025-05-22T03:48:20
2025-05-22T03:48:19
NONE
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I am following the MCP HuggingFace tutorial Gradio Integration section. I ran the server and it works through the UI and. through an API call but it doesn't work with the cursor client. The MCP connection fails with the error attached. I also attached the MCP configuration. has anyone solve this issue? <img width="613" alt="Image" src="https://github.com/user-attachments/assets/c61acce3-1135-4831-b3c4-15aaf9e30ed2" /> <img width="1172" alt="Image" src="https://github.com/user-attachments/assets/7b524d1d-3790-46bf-8766-80079af35b9d" />
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fix: added missing os import
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2025-05-21T17:43:29
2025-05-22T12:00:49
2025-05-22T12:00:49
CONTRIBUTOR
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- Needed for `os.environ`
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47
fix: updated output for tool discovery from server.py
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[ "Happy to contribute. Thanks for the great course!" ]
2025-05-21T17:21:36
2025-05-22T13:02:42
2025-05-22T12:01:47
CONTRIBUTOR
null
null
null
- The tool name as mentioned in _server.py_ is `"get_weather"` instead of the current `"Weather API"` - The tool description as mentioned in _server.py_ is `"Get the current weather for a specified location."` instead of the current `"Get the weather in a specific location"`.
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46
fix: removed unused import from code clients example snippet
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2025-05-21T16:55:26
2025-05-22T12:02:12
2025-05-22T12:02:12
CONTRIBUTOR
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null
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The import `CodeAgent` isn't used in the first snippet in the "Code Clients" section.
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45
Confusing JSON Structure and Role Terminology in Unit 1 ("MCP Clients")
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2025-05-21T13:49:22
2025-05-21T13:49:22
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**Page:** [https://huggingface.co/learn/mcp-course/unit1/mcp-clients](https://huggingface.co/learn/mcp-course/unit1/mcp-clients) --- ### ๐Ÿ“Œ Context I was going through this section and noticed a few things that may benefit from clarification. Hope this is helpful! --- ### ๐Ÿ”น 1. `mcp.json` structure โ€” clarification needed The page presents the following JSON structure: ```json { "servers": [ { "name": "GitHub API", "transport": { "type": "stdio", "command": "python", "args": ["github_server.py"], "env": { "GITHUB_TOKEN": "your_github_token" } } } ] } ``` However, Iโ€™ve seen most MCP-compatible projects (like `Cursor`, `TRAE`, `Windsurf`, etc.) use a different structure โ€” something like: ```json { "mcpServers": { "github": { "command": "python", "args": ["github_server.py"], "env": { "GITHUB_TOKEN": "your_github_token" } } } } ``` Could you clarify the intent behind the structure youโ€™ve used? --- ### ๐Ÿ”น 2. Hosts vs Clients โ€” possible role confusion The section refers to Claude Desktop, Cursor, and Continue.dev as โ€œMCP Clients,โ€ but from what I understand, those are better described as **MCP Hosts** โ€” applications that embed an MCP client for connecting to MCP Servers. It might help learners if this distinction were made clearer: * **Host** = the main user-facing app (IDE, assistant, etc.) * **Client** = the internal component that handles MCP communications
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44
[IMPROVEMENT] Update gradio-client.mdx
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[ "Hey @aspratyush , nice idea but IMO the guide is meant to focus on deploying with spaces. How about we add a `<Tip>` item that mentions that users should login via the cli if running locally?", "what about instead using an HF_TOKEN. \r\nThat way the same code can run in both local as well as in spaces. \r\n\r\nm...
2025-05-21T13:29:39
2025-06-12T14:20:03
2025-06-12T14:20:03
CONTRIBUTOR
null
null
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Add HFHub login for local MCP Clients
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[UPDATE] update tiny agents page to only include client implementation
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/learn/mcp-course/pr_43). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "> hmm, I actually quite liked the iterative process we went earlier, maybe this can be...
2025-05-21T12:32:16
2025-05-22T11:51:31
2025-05-22T11:51:30
COLLABORATOR
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42
Fixed grammar & spelling in Unit 2
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2025-05-21T10:49:19
2025-05-22T12:06:34
2025-05-22T12:06:34
CONTRIBUTOR
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## Change 1 **Before:** > \[!NOTE] ... This doesnโ€™t includes our Gradio server ... **After:** > \[!NOTE] ... This doesnโ€™t include our Gradio server ... ## Change 2 **Before:** > \[!NOTE] A tool is defined by its name, a description, and a JSONSchema ... **After:** > \[!NOTE] A tool is defined by its name, a description, and a JSON Schema ... ## Change 3 **Before:** > \[!NOTE] To connect to a MCP server ... **After:** > \[!NOTE] To connect to an MCP server ...
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41
Fix example: ToolCollection is not iterable, use tools.tools instead
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2025-05-21T10:22:08
2025-05-21T10:37:02
2025-05-21T10:37:02
CONTRIBUTOR
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fix #40
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[Bug] ToolCollection is not iterable as shown in MCP Course Example
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2025-05-21T10:04:26
2025-05-21T10:37:03
2025-05-21T10:37:03
CONTRIBUTOR
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**Summary:** The code example in [Unit 1: MCP Clients](https://huggingface.co/learn/mcp-course/unit1/mcp-clients) does not work as shown because ToolCollection is not directly iterable. This causes a TypeError in the provided example. **Details:** Environment: โ€ข smolagents==1.16.1 โ€ข mcp==1.5.0 โ€ข mcpadapt==0.1.7 โ€ข Python 3.11 **Steps to reproduce:** I followed the code example from the course: ```py from smolagents import ToolCollection, CodeAgent from mcp.client.stdio import StdioServerParameters server_parameters = StdioServerParameters(command="uv", args=["run", "server.py"]) with ToolCollection.from_mcp( server_parameters, trust_remote_code=True ) as tools: print("\n".join(f"{t.name}: {t.description}" for t in tools)) ``` Error output: ```sh TypeError: 'ToolCollection' object is not iterable ``` Resolution / Workaround: I found that ToolCollection is not directly iterable. Instead, you need to iterate over tools.tools: ```python with ToolCollection.from_mcp( server_parameters, trust_remote_code=True ) as tools: print("\n".join(f"{tool.name}: {tool.description}" for tool in tools.tools)) ``` With this change, it works as expected.
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39
[UNIT] Add advanced MCP unit summaries & toc from Anthropic
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[ "This looks great @zealoushacker. Thanks for the thorough proposal. Here are some of my thoughts on the high level:\r\n\r\n- I would approach these two units as separate PRs and release sequentially. That will allow us to ship sooner and gauge community response. \r\n- We can add some quizzes to make it more intera...
2025-05-20T19:20:03
2025-05-21T17:16:26
2025-05-21T17:16:25
COLLABORATOR
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## Summary This PR adds two new advanced unit summaries and toc to the MCP course, contributed by Anthropic: - **Unit 3: Advanced MCP Development** - Building Custom Workflow Servers - **Unit 4: Production Deployment** - Remote Servers, Authentication, and Deployment ## Changes - Add comprehensive unit 3 summary covering MCP workflow servers and tool composition - Add detailed unit 4 summary covering remote MCP deployment with Cloudflare Workers - Update table of contents to include new units with proper navigation - Include OAuth 2.1 authentication and production deployment patterns - Standardize deployment examples to use Cloudflare Workers platform ## Content Overview **Unit 3** focuses on building production-ready MCP servers that enhance development workflows, including smart PR management, GitHub Actions integration, and team communication. **Unit 4** covers taking MCP applications to production with remote deployment, OAuth authentication, and CI/CD integration using Cloudflare Workers. Both units include practical tutorials and real-world examples to help developers build professional MCP applications. ## TODO Build out both units.
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Update gradio-client.mdx
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2025-05-20T08:21:56
2025-05-21T10:35:56
2025-05-21T10:35:56
CONTRIBUTOR
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Use the personal space created & deployed previously
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Update gradio-client.mdx
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2025-05-20T03:45:03
2025-05-21T10:34:36
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CONTRIBUTOR
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MCPClient has no close() method
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ValueError: I/O operation on closed pipe
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[ "i rewrite client.py,it is OK\n```\nfrom smolagents import ToolCollection, CodeAgent\nfrom mcp.client.stdio import StdioServerParameters\n\n\nserver_parameters = StdioServerParameters(command=\"uv\", args=[\"run\", \"server.py\"])\n\nwith ToolCollection.from_mcp(server_parameters, trust_remote_code=True) as tool_co...
2025-05-20T03:30:49
2025-05-20T06:33:15
2025-05-20T06:33:15
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i run example client code ``` from smolagents import ToolCollection, CodeAgent from mcp.client.stdio import StdioServerParameters server_parameters = StdioServerParameters(command="uv", args=["run", "server.py"]) with ToolCollection.from_mcp( server_parameters, trust_remote_code=True ) as tools: print("\n".join(f"{t.name}: {t.description}" for t in tools)) ``` server.py ``` import gradio as gr from mcp.server.fastmcp import FastMCP # Create an MCP server mcp = FastMCP("Weather Service") @mcp.tool() def get_weather(location: str) -> str: """Get the current weather for a specified location.""" return f"Weather in {location}: Sunny, 72ยฐF" @mcp.resource("weather://{location}") def weather_resource(location: str) -> str: """Provide weather data as a resource.""" return f"Weather data for {location}: Sunny, 72ยฐF" @mcp.prompt() def weather_report(location: str) -> str: """Create a weather report prompt.""" return f"""You are a weather reporter. Weather report for {location}?""" # Run the server if __name__ == "__main__": mcp.run() ``` and i am sure i didn't run server.py before i run client,the error information as follow: PS E:\mcp_project> python client.py Traceback (most recent call last): File "E:\mcp_project\client.py", line 9, in <module> print("\n".join(f"{t.name}: {t.description}" for t in tools)) ^^^^^ TypeError: 'ToolCollection' object is not iterable Exception ignored in: <function BaseSubprocessTransport.__del__ at 0x000001909BF99A80> Traceback (most recent call last): File "D:\limengting\python\Lib\asyncio\base_subprocess.py", line 129, in __del__ _warn(f"unclosed transport {self!r}", ResourceWarning, source=self) File "D:\limengting\python\Lib\asyncio\base_subprocess.py", line 81, in __repr__ info.append(f'stdout={stdout.pipe}') File "D:\limengting\python\Lib\asyncio\proactor_events.py", line 80, in __repr__ info.append(f'fd={self._sock.fileno()}') File "D:\limengting\python\Lib\asyncio\windows_utils.py", line 102, in fileno raise ValueError("I/O operation on closed pipe") ValueError: I/O operation on closed pipe Exception ignored in: <function _ProactorBasePipeTransport.__del__ at 0x000001909BF9B560> Traceback (most recent call last): File "D:\limengting\python\Lib\asyncio\proactor_events.py", line 116, in __del__ _warn(f"unclosed transport {self!r}", ResourceWarning, source=self) File "D:\limengting\python\Lib\asyncio\proactor_events.py", line 80, in __repr__ info.append(f'fd={self._sock.fileno()}') File "D:\limengting\python\Lib\asyncio\windows_utils.py", line 102, in fileno raise ValueError("I/O operation on closed pipe") ValueError: I/O operation on closed pipe
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3,075,227,762
PR_kwDOOkuIPc6WzEPP
35
change git push from https to token auth
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2025-05-19T23:29:55
2025-05-19T23:47:38
2025-05-19T23:47:31
NONE
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- Correct git integration from https to token - guide user back to their filesystem - remove the `cp server.py app.py` as file is already `app.py`
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3,074,299,143
PR_kwDOOkuIPc6Wv58x
34
Fixed grammar in multiple files
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2025-05-19T15:44:06
2025-05-21T10:34:02
2025-05-21T10:34:02
CONTRIBUTOR
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This pull request improves the documentation by replacing the unclear pronoun **"their"** with **"the MCP entities,"** making the sentence clearer since MCP is a protocol, not a person or group. **Updated text:** > *This application might use the MCP entities in the following way:* Also fixed a grammar issue in `mcp-clients.mdx`: **Before:** > *We can also connect to an MCP packages.* **After:** > *We can also connect to an MCP package.*
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33
Javascript
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2025-05-19T14:29:01
2025-05-19T14:29:01
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In unit 1 (https://huggingface.co/learn/mcp-course/unit1/sdk), the course provides code examples for python and javascript. However the text only refers to the start of the python server. Adding the JS command would make it easier for beginners ```sh npx @modelcontextprotocol/inspector node src/index.js ``` link: https://huggingface.co/learn/mcp-course/unit1/sdk
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3,074,033,296
I_kwDOOkuIPc63OgaQ
32
Is it the right server address for gradio?
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[ "i think the right server address is http://your-server:port/gradio_api/mcp/sse\nbut i run my client ,result is 404", "I had the same issue, shorten the URL did the trick for me ...", "@torstenboettjer Hi, I am facing the same issue with 404 right now. Could you please share the solution with URL shortening if ...
2025-05-19T14:24:01
2025-05-21T10:39:47
2025-05-21T10:39:46
NONE
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In unit 1 under Gradio integration, the MCP server link is given as http://your-server:port/gradio_api/mcp/sse, shouldn't that be The MCP server will be 'http://your-server:port'? link: https://huggingface.co/learn/mcp-course/unit1/gradio-mcp
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3,073,861,831
I_kwDOOkuIPc63N2jH
31
Questions about some text descriptions
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[ "![Image](https://github.com/user-attachments/assets/60eb80a1-2d2f-4e56-a574-5c4dec7efc84)\nhttps://huggingface.co/learn/mcp-course/en/unit1/architectural-components#host-client-and-server\n\nIn the terminology in the documentation on this day, prompts that make the magic work should be Server -> Client . The user...
2025-05-19T13:29:10
2025-05-21T10:42:40
2025-05-21T10:42:38
CONTRIBUTOR
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1. In the table [here](https://huggingface.co/learn/mcp-course/unit1/capabilities#how-capabilities-work-together), should Prompts direction be `Host โ†’ Server`, as user select the prompt? 2. A bit confusing for the second code block [here](https://huggingface.co/learn/mcp-course/unit1/mcp-clients#code-clients), as `SSEServerParameters` is not used in the code but mentioned in text description.
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PR_kwDOOkuIPc6WuFGd
30
Unit 1 & Unit 2 update
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2025-05-19T12:57:19
2025-05-21T10:44:18
2025-05-21T10:32:46
CONTRIBUTOR
null
null
null
Unit1: - import code refactor - minor grammar fix Unit2: - no need `cp server.py app.py` as file name already is `app.py` - import code refactor - minor grammar fix
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29
Added MCP Dart SDK
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2025-05-19T11:42:47
2025-05-21T10:31:32
2025-05-21T10:31:32
CONTRIBUTOR
null
null
null
Iโ€™ve added the MCP Dart SDK, which is maintained by the Flutter Community.
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3,072,342,848
PR_kwDOOkuIPc6WpSmO
28
Fix typos in unit1
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2025-05-19T02:58:10
2025-05-21T10:30:37
2025-05-21T10:30:37
CONTRIBUTOR
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27
Update gradio-client.mdx
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2025-05-19T02:42:46
2025-05-19T14:48:29
2025-05-19T08:41:55
CONTRIBUTOR
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If we use extra dependency in [] brackets we need to put it to " quotes in bash
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Update gradio-server.mdx
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2025-05-19T02:32:24
2025-05-19T14:48:57
2025-05-19T08:42:33
CONTRIBUTOR
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I believe the HF gradio spaces requires naming the gradio application to app.py.
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npx not found
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[ "You need to install `npx` with `brew` for mcp to work on mac", "You need to make sure ```node``` is installed first.\nFor mac users : ```brew install node```" ]
2025-05-18T11:53:03
2025-05-21T10:37:28
2025-05-21T10:37:28
NONE
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Trying to running the server.py in unit1 course following exactly the steps to build dependencies. But it reported when I typed `mcp dev server.py` ``` ERROR npx not found. Please ensure Node.js and npm are properly installed and added to your system PATH. You may need to cli.py:308 restart your terminal after installation. ``` Env๏ผš macOS + Zsh What else should I do to debug the issue? Thanks~
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24
Fix: Update mcp-clients.mdx
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2025-05-18T10:04:28
2025-05-19T09:46:44
2025-05-19T08:43:03
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23
Update gradio-server.mdx: fix issue 19
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2025-05-18T08:55:21
2025-05-19T08:44:00
2025-05-19T08:44:00
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Huggingfaces space needs an app.py to trigger the build. a temporary fix will be to change the name of the file from server.py to app.py Ideal way would be to change the ci pipeline to use server.py to trigger the build and serve
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3,071,524,625
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22
[TRANSLATION] add zh docs
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[ "This looks really great! could you make sure that all sections are translated and merge the work from [here](https://huggingface.co/learn/agents-course/unit2/smolagents/code_agents)\r\n\r\n@ShawnSiao I'd suggest that you and @vansin merge PRs and review each other work. This will get it merged to main super fast! ...
2025-05-18T07:49:54
2025-06-07T08:42:26
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NONE
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21
Unused function in Unit 2 Notebook
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2025-05-18T03:42:04
2025-05-19T08:36:35
2025-05-19T08:36:35
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https://huggingface.co/learn/mcp-course/unit2/gradio-client ![Image](https://github.com/user-attachments/assets/6130d31b-84a3-48bb-b753-928344f41817) Is the intention to use `call_agent` as the function instead of the lambda function?
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20
gr.chatinterface has no argument messages
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[ "Just comment out or remove the \n`messages=[],`\nand it will work", "thanks! fixed now." ]
2025-05-17T14:05:51
2025-05-19T08:37:03
2025-05-19T08:37:02
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https://github.com/huggingface/mcp-course/blob/main/units/en/unit2/gradio-client.mdx ![Image](https://github.com/user-attachments/assets/69e47ac3-8868-484b-a49b-3978d45f63e2) I looked at documentation here and ran into an error https://www.gradio.app/docs/gradio/chatinterface, the gradio.chatinterface doesn't have an argument called 'messages'. Not sure if the demo is using an older version or unreleased version of gradio.
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Doesn't this need to be making an app.py file, if server.py hugging face spaces does not build the app
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[ "I faced the same issue. \ncopied server.py to app.py and everything works as expected. \n\nhttps://huggingface.co/spaces/aswinajay/mcp-sentiment", "thanks for reporting" ]
2025-05-17T13:41:14
2025-05-19T08:41:11
2025-05-19T08:41:10
NONE
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[units/en/unit2/gradio-server.mdx](https://github.com/huggingface/mcp-course/blob/main/units/en/unit2/gradio-server.mdx) ![Image](https://github.com/user-attachments/assets/0a37c7a5-d0b8-410b-98c1-020a2cdf3fd3) This code is not deploying the mcp server on the huggingface spaces, the webpage says that I need an app.py for the build?
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18
[TRANSLATION] Translation to Chinese
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[ "Thanks so much!\r\n\r\nplease merge with https://github.com/huggingface/mcp-course/pull/22#issuecomment-2890162374 to get this reviewed. " ]
2025-05-17T09:27:01
2025-06-07T09:07:16
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translate to chinese #16
null
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3,070,264,616
PR_kwDOOkuIPc6WikRx
17
fix typos + add missing links
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2025-05-17T03:37:07
2025-05-19T08:35:10
2025-05-19T08:35:10
CONTRIBUTOR
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[TRANSLATION] Translation to Chinese
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2025-05-17T02:40:20
2025-05-17T02:40:20
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I will follow and complete this task, can you assign it to me please, thanks.
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15
[TRANSLATION] Update translation scripts and related vietnamese version
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[ "Great work again @honghanhh !\r\n\r\nCould you also update the CI in `.github` by adding the `vi` language code. For reference, see [here](https://github.com/huggingface/agents-course/blob/main/.github/workflows/build_documentation.yml)", "> Great work again @honghanhh !\r\n> \r\n> Could you also update the CI i...
2025-05-17T00:09:31
2025-05-27T08:23:00
2025-05-21T10:29:45
CONTRIBUTOR
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null
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Inspired by the translation of @ngxson in Agent Course, this PR fixed #14 by - Create the script to auto translate the content of the course into vietnamese. - Add the translation of the first 2 units and README.
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[TRANSLATION] Translation to Vietnamese
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2025-05-16T23:56:56
2025-05-21T10:29:46
2025-05-21T10:29:46
CONTRIBUTOR
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Let's translate the course into Vietnamese to overcome the language barrier ๐Ÿค To do so: - [x] Create the script to auto translate the content of the course into vietnamese - [x] Human-in-the-loop to double check
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13
Fix typos and grammar in Unit 0 introduction
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2025-05-16T19:22:37
2025-05-19T09:17:05
2025-05-19T08:34:07
CONTRIBUTOR
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This pull request addresses minor typos and grammatical errors found in the introduction to Unit 0 (`units/en/unit0/introduction.mdx`). Changes include: - Lowercased 'Account' to 'account'. - Added 'on' to 'focuses building' to make 'focuses on building'. - Rephrased 'the best is' to 'it is best' for better flow.
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12
Highlight Units 3 and 4 in table of contents and fix typos
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2025-05-16T17:21:58
2025-05-19T08:33:04
2025-05-19T08:33:04
NONE
null
null
null
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3,069,520,368
I_kwDOOkuIPc629Snw
11
Feedback form link is missing
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[ "Thanks for reporting" ]
2025-05-16T17:14:02
2025-05-19T08:38:49
2025-05-19T08:38:49
NONE
null
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Link to feedback form at [unit0 intro mdx file](https://github.com/huggingface/mcp-course/blob/main/units/en/unit0/introduction.mdx#:~:text=%5BLINK%20TO%20FEEDBACK%20FORM%5D) isn't defined
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https://api.github.com/repos/huggingface/mcp-course/issues/10
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3,068,689,564
PR_kwDOOkuIPc6WdStk
10
Fix courses URLs
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[ "Thanks for all the PRs @ismael-dm ! I'll close this one because we fixed it another." ]
2025-05-16T11:04:02
2025-05-16T12:32:38
2025-05-16T12:32:38
CONTRIBUTOR
null
null
null
small typo, links were not working
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3,068,685,429
PR_kwDOOkuIPc6WdRzG
9
Duplicated Note tag
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2025-05-16T11:02:01
2025-05-16T12:31:29
2025-05-16T12:31:29
CONTRIBUTOR
null
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3,068,541,361
PR_kwDOOkuIPc6WcyUa
8
small image link typo
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2025-05-16T09:55:36
2025-05-16T12:31:14
2025-05-16T12:31:14
CONTRIBUTOR
null
null
null
Fixing a small typo that is blocking an image to be rendered on SDK page
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3,068,400,703
PR_kwDOOkuIPc6WcT4r
7
Update gradio-client.mdx to fix python code block
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2025-05-16T08:58:56
2025-05-16T08:59:33
2025-05-16T08:59:33
NONE
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3,068,254,765
PR_kwDOOkuIPc6Wb0KY
6
Update sdk.mdx to fix image rendering
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[ "Will make another PR after fixing the rest of the typos" ]
2025-05-16T07:58:45
2025-05-16T09:18:49
2025-05-16T09:18:49
NONE
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Fix image rendering in Markdown by correcting image URL syntax
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https://github.com/huggingface/mcp-course/pull/5
3,068,227,391
PR_kwDOOkuIPc6WbuTv
5
Updated links and removed duplicate code start
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/learn/mcp-course/pr_5). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "Thanks! I'll get on the extra stuff." ]
2025-05-16T07:46:00
2025-05-16T12:30:52
2025-05-16T12:30:52
MEMBER
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Small nits found while scanning the course ๐Ÿ˜„ Other things I've found: - The `[LINK TO FEEDBACK FORM]` is missing in [the welcome section](https://huggingface.co/learn/mcp-course/unit0/introduction#what-does-the-course-look-like). - Videos in [Tiny Agents: an MCP-powered agent in 50 lines of code](https://huggingface.co/learn/mcp-course/unit2/tiny-agents#how-to-run-the-complete-demo) are static. I solved this issue for the agents course uploading the video to YT and serving it from there. @burtenshaw
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