url string | repository_url string | labels_url string | comments_url string | events_url string | html_url string | id int64 | node_id string | number int64 | title string | user dict | labels sequence | state string | locked bool | assignee null | assignees sequence | milestone null | comments sequence | created_at timestamp[s] | updated_at timestamp[s] | closed_at timestamp[s] | author_association string | type null | active_lock_reason null | sub_issues_summary dict | body string | closed_by dict | reactions dict | timeline_url string | performed_via_github_app null | state_reason string | draft bool | pull_request dict | is_pull_request bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/mcp-course/issues/104 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/104/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/104/comments | https://api.github.com/repos/huggingface/mcp-course/issues/104/events | https://github.com/huggingface/mcp-course/issues/104 | 3,146,379,401 | I_kwDOOkuIPc67ifCJ | 104 | Invalid credentials in Authorization header | {
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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
``` | null | {
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https://api.github.com/repos/huggingface/mcp-course/issues/103 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/103/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/103/comments | https://api.github.com/repos/huggingface/mcp-course/issues/103/events | https://github.com/huggingface/mcp-course/pull/103 | 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 | null | null | null | ## 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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https://api.github.com/repos/huggingface/mcp-course/issues/102 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/102/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/102/comments | https://api.github.com/repos/huggingface/mcp-course/issues/102/events | https://github.com/huggingface/mcp-course/issues/102 | 3,140,368,185 | I_kwDOOkuIPc67Ljc5 | 102 | unit 3: dead link MCP roots | {
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thanks for this challenging course! | null | {
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https://api.github.com/repos/huggingface/mcp-course/issues/101 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/101/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/101/comments | https://api.github.com/repos/huggingface/mcp-course/issues/101/events | https://github.com/huggingface/mcp-course/issues/101 | 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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https://api.github.com/repos/huggingface/mcp-course/issues/100 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/100/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/100/comments | https://api.github.com/repos/huggingface/mcp-course/issues/100/events | https://github.com/huggingface/mcp-course/issues/100 | 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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} | 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()`.
╭────────────────────────────────── New run ───────────────────────────────────╮
│ │
│ Analyze the sentiment of the following text "This is awesome" │
│ │
╰─ InferenceClientModel - Qwen/Qwen2.5-Coder-32B-Instruct ─────────────────────╯
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
─ Executing parsed code: ─────────────────────────────────────────────────────
sentiment_result = sentiment_analysis(text="This is awesome")
print(sentiment_result)
──────────────────────────────────────────────────────────────────────────────
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]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
─ Executing parsed code: ─────────────────────────────────────────────────────
sentiment_result = sentiment_analysis(text="This is awesome")
print(sentiment_result)
──────────────────────────────────────────────────────────────────────────────
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]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 4 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
─ Executing parsed code: ─────────────────────────────────────────────────────
final_answer(sentiment_result['assessment'])
──────────────────────────────────────────────────────────────────────────────
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]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
─ Executing parsed code: ─────────────────────────────────────────────────────
print(type(sentiment_result))
print(sentiment_result)
final_answer(sentiment_result['assessment'])
──────────────────────────────────────────────────────────────────────────────
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]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 6 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
─ Executing parsed code: ─────────────────────────────────────────────────────
import re
# Parse the string to extract the sentiment assessment
sentiment_dict = eval(sentiment_result)
final_answer(sentiment_dict['assessment'])
──────────────────────────────────────────────────────────────────────────────
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]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 7 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
─ Executing parsed code: ─────────────────────────────────────────────────────
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")
──────────────────────────────────────────────────────────────────────────────
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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"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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} | 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 you’ve connected to an example MCP Server, let’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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} | [] | closed | false | null | [] | null | [] | 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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} | [] | closed | false | null | [] | null | [] | 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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https://api.github.com/repos/huggingface/mcp-course/issues/94 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/94/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/94/comments | https://api.github.com/repos/huggingface/mcp-course/issues/94/events | https://github.com/huggingface/mcp-course/issues/94 | 3,131,648,412 | I_kwDOOkuIPc66qSmc | 94 | 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 | null | NONE | null | null | {
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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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"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 | null | NONE | null | null | {
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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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https://api.github.com/repos/huggingface/mcp-course/issues/92 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/92/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/92/comments | https://api.github.com/repos/huggingface/mcp-course/issues/92/events | https://github.com/huggingface/mcp-course/issues/92 | 3,130,694,168 | I_kwDOOkuIPc66mpoY | 92 | Video showing as still image in the Unit 1: MCP Clients Page | {
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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) | null | {
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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! | null | {
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- 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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Because **M** is pronounced “em,” it starts with a vowel sound, so the correct article is **an**.
Ref: *Chicago Manual of Style* Q&A — “the choice of **a/an** is determined by how the abbreviation is read aloud.”
<https://www.chicagomanualofstyle.org/qanda/data/faq/topics/Abbreviations/faq0010.html>
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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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https://api.github.com/repos/huggingface/mcp-course/issues/87 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/87/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/87/comments | https://api.github.com/repos/huggingface/mcp-course/issues/87/events | https://github.com/huggingface/mcp-course/issues/87 | 3,127,833,074 | I_kwDOOkuIPc66bvHy | 87 | The video doesn't work in MCP clients section | {
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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 | null | null | {
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click Connect, I get this error message:
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"@burtenshaw PTAL"
] | 2025-06-05T13:52:42 | 2025-06-12T14:17:56 | 2025-06-12T14:17:56 | CONTRIBUTOR | null | null | null | - 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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"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 | null | null | null | null | {
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"I have the same doubt"
] | 2025-06-04T20:08:18 | 2025-06-11T16:50:20 | null | NONE | null | null | {
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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 | null | {
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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 | null | 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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https://api.github.com/repos/huggingface/mcp-course/issues/80 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/80/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/80/comments | https://api.github.com/repos/huggingface/mcp-course/issues/80/events | https://github.com/huggingface/mcp-course/pull/80 | 3,118,615,510 | PR_kwDOOkuIPc6ZEQZz | 80 | Update clients.mdx (local/remote confusion) | {
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https://api.github.com/repos/huggingface/mcp-course/issues/79 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/79/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/79/comments | https://api.github.com/repos/huggingface/mcp-course/issues/79/events | https://github.com/huggingface/mcp-course/issues/79 | 3,114,430,616 | I_kwDOOkuIPc65onCY | 79 | Help with deployed instances accessing the inference models with API_KEYS | {
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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 | null | {
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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 | null | null | 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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"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 | null | null | null | 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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"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 | COLLABORATOR | null | null | null | Co-authored-by: neonwatty | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/learn/mcp-course/pr_74). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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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 | null | null | Added appropriate comments to the Python code. Similarly to the JavaScript code. | {
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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 | null | `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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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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"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 ❤️\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 | null | null | null | null | {
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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 | null | null | 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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"thanks!"
] | 2025-05-29T16:20:32 | 2025-05-30T08:46:32 | 2025-05-30T08:46:26 | CONTRIBUTOR | null | null | null | 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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"thanks!"
] | 2025-05-29T01:44:51 | 2025-05-30T08:47:29 | 2025-05-30T08:47:29 | CONTRIBUTOR | null | null | null | Change redundant “in within code” to “within code” | {
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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" /> | null | {
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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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https://api.github.com/repos/huggingface/mcp-course/issues/63 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/63/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/63/comments | https://api.github.com/repos/huggingface/mcp-course/issues/63/events | https://github.com/huggingface/mcp-course/pull/63 | 3,091,780,581 | PR_kwDOOkuIPc6Xq2Ng | 63 | 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 | null | Initializing the mcp_client outside of the try block to ensure it's in scope for the finally block. | {
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https://api.github.com/repos/huggingface/mcp-course/issues/62 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/62/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/62/comments | https://api.github.com/repos/huggingface/mcp-course/issues/62/events | https://github.com/huggingface/mcp-course/issues/62 | 3,090,408,208 | I_kwDOOkuIPc64M-MQ | 62 | Connecting to remote server | {
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 | null | {
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https://api.github.com/repos/huggingface/mcp-course/issues/61 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/61/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/61/comments | https://api.github.com/repos/huggingface/mcp-course/issues/61/events | https://github.com/huggingface/mcp-course/issues/61 | 3,089,465,400 | I_kwDOOkuIPc64JYA4 | 61 | Quiz answers are checkbox but should be radio | {
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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 🙃 | null | {
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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 | null | null | 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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- 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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"gists_url": "https://api.github.com/users/JairajJangle/gists{/gist_id}",
"starred_url": "https://api.github.com/users/JairajJangle/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/JairajJangle/subscriptions",
"organizations_url": "https://api.github.com/users/JairajJangle/orgs",
"repos_url": "https://api.github.com/users/JairajJangle/repos",
"events_url": "https://api.github.com/users/JairajJangle/events{/privacy}",
"received_events_url": "https://api.github.com/users/JairajJangle/received_events",
"type": "User",
"user_view_type": "public",
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} | [] | open | false | null | [] | null | [] | 2025-05-24T14:48:39 | 2025-05-24T14:59:20 | null | CONTRIBUTOR | null | null | {
"total": 0,
"completed": 0,
"percent_completed": 0
} | 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` | null | {
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} | [] | closed | false | null | [] | null | [
"Thanks, but this page is since refactored."
] | 2025-05-24T14:33:38 | 2025-06-02T09:39:12 | 2025-06-02T09:39:11 | CONTRIBUTOR | null | null | null | - Removed unused import from unit 2 gradio client section | {
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https://api.github.com/repos/huggingface/mcp-course/issues/55 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/55/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/55/comments | https://api.github.com/repos/huggingface/mcp-course/issues/55/events | https://github.com/huggingface/mcp-course/issues/55 | 3,088,124,730 | I_kwDOOkuIPc64EQs6 | 55 | Not able to access qwen inference model: Invalid username of password | {
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} | [] | open | false | null | [] | null | [
"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 | null | CONTRIBUTOR | null | null | {
"total": 0,
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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
| null | {
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https://api.github.com/repos/huggingface/mcp-course/issues/54 | https://api.github.com/repos/huggingface/mcp-course | https://api.github.com/repos/huggingface/mcp-course/issues/54/labels{/name} | https://api.github.com/repos/huggingface/mcp-course/issues/54/comments | https://api.github.com/repos/huggingface/mcp-course/issues/54/events | https://github.com/huggingface/mcp-course/issues/54 | 3,085,802,061 | I_kwDOOkuIPc637ZpN | 54 | request exampe - "arguments" field - confusing | {
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} | [] | open | false | null | [] | null | [] | 2025-05-23T09:37:20 | 2025-05-23T09:37:20 | null | NONE | null | null | {
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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"
}
}`
| null | {
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