Gradio MCP endpoint
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| Space name
stringclasses 218
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int64 0
116
| Created at
stringdate 2025-06-01 15:26:20
2025-06-11 12:39:01
| Tags
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|---|---|---|---|---|---|---|---|---|
https://agents-mcp-hackathon-mcp-server-demo.hf.space/gradio_api/mcp/sse
|
MCP_Server_Demo_letter_counter
|
Count the number of occurrences of a letter in a word or text.
|
word, letter
|
MCP-Server-Demo
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP-Server-Demo
| 0
|
2025-06-04T16:31:55.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-deepsearch.hf.space/gradio_api/mcp/sse
|
deepsearch_process_query
|
Process the user query and return research results.
|
query
|
deepsearch
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/deepsearch
| 0
|
2025-06-04T17:47:46.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-pwnguard.hf.space/gradio_api/mcp/sse
|
PwnGuard_quick_check
|
Quick security check with minimal JSON output
|
user_query, use_llm_analysis
|
PwnGuard
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/PwnGuard
| 0
|
2025-06-05T05:02:02.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-pwnguard.hf.space/gradio_api/mcp/sse
|
PwnGuard_analyze_mcp_request
|
MCP-compatible security analysis function
|
task_id, user_query, context, history_json
|
PwnGuard
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/PwnGuard
| 0
|
2025-06-05T05:02:02.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-travel-planner-mcp.hf.space/gradio_api/mcp/sse
|
travel_planner_mcp_search_flights
|
Search for flights using Google Flights API via SerpAPI. This function retrieves flight information including prices, schedules, and airport details for a given route and date range. Returns: A dictionary containing flight search results including:, Price insights, Best flight options, Airport information, Flight schedules
|
departure_id, arrival_id, outbound_date, return_date, currency
|
travel-planner-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/travel-planner-mcp
| 0
|
2025-06-05T12:39:11.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-travel-planner-mcp.hf.space/gradio_api/mcp/sse
|
travel_planner_mcp_search_hotels
|
Uses Google Hotels API via SerpAPI to search for hotels and returns property information. Returns: A dictionary containing hotel properties with their details including, prices, ratings, amenities, and location information.
|
query, check_in_date, check_out_date, num_adults, currency, sort_by, min_price, max_price, rating
|
travel-planner-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/travel-planner-mcp
| 0
|
2025-06-05T12:39:11.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-threatradar.hf.space/gradio_api/mcp/sse
|
ThreatRadar_analyze_query_ui
|
UI-specific version that returns HTML formatted results.
|
query
|
ThreatRadar
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ThreatRadar
| 0
|
2025-06-05T14:18:14.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-kgb-mcp.hf.space/gradio_api/mcp/sse
|
KGB_mcp_build_knowledge_graph
|
Main function to build knowledge graph from text or URL.
|
input_text
|
KGB-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/KGB-mcp
| 0
|
2025-06-05T15:19:25.000Z
|
gradio, mcp-server-track, agent-demo-track, knowledge-graph, entity-extraction, nlp, visualization, semantic-analysis, clustering, embeddings, mcp-server, region:us
|
https://agents-mcp-hackathon-novel-heroes.hf.space/gradio_api/mcp/sse
|
novel_heroes_custom_respond
|
Custom respond function with dynamic system prompt.
|
message, book_name, book_content, selected_hero, lang_prompt
|
novel-heroes
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/novel-heroes
| 0
|
2025-06-06T07:41:02.000Z
|
gradio, agent-demo-track, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-novel-heroes.hf.space/gradio_api/mcp/sse
|
novel_heroes_lambda
|
novel-heroes
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/novel-heroes
| 0
|
2025-06-06T07:41:02.000Z
|
gradio, agent-demo-track, mcp-server-track, mcp-server, region:us
|
||
https://agents-mcp-hackathon-novel-heroes.hf.space/gradio_api/mcp/sse
|
novel_heroes_get_book_list
|
Get list of available books. Returns: JSON string containing the list of book names.
|
novel-heroes
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/novel-heroes
| 0
|
2025-06-06T07:41:02.000Z
|
gradio, agent-demo-track, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-novel-heroes.hf.space/gradio_api/mcp/sse
|
novel_heroes_get_book_content
|
Get the content of a book. Returns: The content of the book, or an error message if the book is not found.
|
book_name, max_length
|
novel-heroes
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/novel-heroes
| 0
|
2025-06-06T07:41:02.000Z
|
gradio, agent-demo-track, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-minion-space.hf.space/gradio_api/mcp/sse
|
minion_space_update_fields
|
Update other fields when preset model is selected
|
preset_model
|
minion-space
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/minion-space
| 0
|
2025-06-06T10:20:41.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-minion-space.hf.space/gradio_api/mcp/sse
|
minion_space_update_query_type_visibility
|
Show query_type dropdown only when route is python
|
route
|
minion-space
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/minion-space
| 0
|
2025-06-06T10:20:41.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-minion-space.hf.space/gradio_api/mcp/sse
|
minion_space_check_tools
|
Sync wrapper for tool status check
|
minion-space
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/minion-space
| 0
|
2025-06-06T10:20:41.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-minion-space.hf.space/gradio_api/mcp/sse
|
minion_space_minion_respond_async
|
Respond to query using specified configuration with optional MCP tools
|
query, preset_model, api_type, api_key, base_url, api_version, model, temperature, max_tokens, route, query_type, check_enabled, use_tools
|
minion-space
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/minion-space
| 0
|
2025-06-06T10:20:41.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-minion-space.hf.space/gradio_api/mcp/sse
|
minion_space_minion_respond_async_
|
Respond to query using specified configuration with optional MCP tools
|
query, preset_model, api_type, api_key, base_url, api_version, model, temperature, max_tokens, route, query_type, check_enabled, use_tools
|
minion-space
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/minion-space
| 0
|
2025-06-06T10:20:41.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-mcp-research-paper-explainer.hf.space/gradio_api/mcp/sse
|
mcp_research_paper_explainer_display_search_results
|
Display search results in a table. Returns: , id: Short ID of the paper, title: Title of the paper, summary: Summary of the paper, pdf_url: URL of the PDF, published: Publication date
|
topic, max_results
|
mcp-research-paper-explainer
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/mcp-research-paper-explainer
| 0
|
2025-06-06T10:54:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-mcp-research-paper-explainer.hf.space/gradio_api/mcp/sse
|
mcp_research_paper_explainer_get_full_text
|
Retrieve full text of a paper given its ID. Returns: String containing the full text of the paper
|
paper_id
|
mcp-research-paper-explainer
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/mcp-research-paper-explainer
| 0
|
2025-06-06T10:54:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-model-analysis-mcp.hf.space/gradio_api/mcp/sse
|
Model_Analysis_MCP_process_text_comprehensive_analysis
|
Processes only text/code descriptions for comprehensive analysis (no ONNX support). Accepts llms_to_query as a string or a list for compatibility.
|
model_input, llms_to_query, analysis_types
|
Model_Analysis_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Model_Analysis_MCP
| 0
|
2025-06-06T18:32:14.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-hackathon-census-mcp-server.hf.space/gradio_api/mcp/sse
|
hackathon_census_mcp_server_import_dec2020_datasets_homepage
|
Fetches the homepage for the the U.S. Census Bureau 2020 decennial census API housed at https://api.census.gov/data/2020/dec/dp.html. Contains descriptions of available datasets. Also includes links to additional helpful documentation such as available geographies and example API calls. Returns: The homepage in markdown format
|
hackathon-census-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/hackathon-census-mcp-server
| 0
|
2025-06-06T19:28:49.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-hackathon-census-mcp-server.hf.space/gradio_api/mcp/sse
|
hackathon_census_mcp_server_import_dec2020_dp_geographies
|
Fetches information on available geographies for the the U.S. Census Bureau 2020 decennial census demographic profile API housed at https://api.census.gov/data/2020/dec/dp/geography.html. Includes: * Geography Levels * Geography Hierarchy. Returns: The information in markdown format
|
hackathon-census-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/hackathon-census-mcp-server
| 0
|
2025-06-06T19:28:49.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-hackathon-census-mcp-server.hf.space/gradio_api/mcp/sse
|
hackathon_census_mcp_server_import_dec2020_dp_variables
|
Fetches information on available variables for the the U.S. Census Bureau 2020 decennial census demographic profile API housed at https://api.census.gov/data/2020/dec/dp/variables.html. * "Name" -- used to access variable during API calls * "Label" -- description of variable. Returns: The information in markdown format
|
hackathon-census-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/hackathon-census-mcp-server
| 0
|
2025-06-06T19:28:49.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-hackathon-census-mcp-server.hf.space/gradio_api/mcp/sse
|
hackathon_census_mcp_server_required_geograpy_hierarchy_parents
|
Given the intent to look up a geography hierarchy within from U.S. Census Bureau 2020 decennial census demographic profile API, return the parent geographies that must be included. Returns: List of strings representing the required parent geographies.
|
geography_hierarchy
|
hackathon-census-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/hackathon-census-mcp-server
| 0
|
2025-06-06T19:28:49.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-hackathon-census-mcp-server.hf.space/gradio_api/mcp/sse
|
hackathon_census_mcp_server_dec2020_dp_fips_lookup
|
Fetches FIPS code for a given geography hierarchy and name. Also returns FIPS code for any parent geographies. Returns: dictionary representing FIPS code values for provided geography_hierarchy.
|
geography_hierarchy, name, required_parent_geographies
|
hackathon-census-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/hackathon-census-mcp-server
| 0
|
2025-06-06T19:28:49.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-hackathon-census-mcp-server.hf.space/gradio_api/mcp/sse
|
hackathon_census_mcp_server_dec2020_dp
|
Fetches demographic profile data from the U.S. Census Bureau API. Returns: Parsed response with column headers and row data as dictionaries.
|
get_variables, for_clauses, in_clauses
|
hackathon-census-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/hackathon-census-mcp-server
| 0
|
2025-06-06T19:28:49.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-hackathon-census-mcp-server.hf.space/gradio_api/mcp/sse
|
hackathon_census_mcp_server_dec2020_dhc_semantic_search
|
Perform a semantic search on the 2020 Census Demographic and Housing Characteristics File (DHC) housed at https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/demographic-and-housing-characteristics-file-and-demographic-profile/2020census-demographic-and-housing-characteristics-file-and-demographic-profile-techdoc.pdf. Returns: The semantically related documents
|
query
|
hackathon-census-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/hackathon-census-mcp-server
| 0
|
2025-06-06T19:28:49.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_switch_network_ui
|
Gradio wrapper for network switching
|
network, api_key
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_get_network_info_ui
|
Get current network info for UI
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_create_account_ui
|
Gradio wrapper for create account
|
name
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_get_accounts_list
|
Get list of current accounts with balances
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_get_balance_ui
|
Gradio wrapper for get balance
|
address
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_get_tx_info_ui
|
Gradio wrapper for transaction info
|
tx_hash
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_send_transaction_ui
|
Gradio wrapper for send transaction
|
from_account, to_address, amount_eth
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_get_latest_ethereum_block
|
Get information about the latest block. Works on all networks. Returns: dict: Latest block information
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_mine_blocks_ui
|
Mine blocks UI wrapper
|
num_blocks
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_list_ethereum_accounts
|
List all created Ethereum accounts with their balances. Note: Only shows local testnet accounts for safety. Returns: dict: List of accounts
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-gradio-eth-mcp.hf.space/gradio_api/mcp/sse
|
gradio_eth_mcp_deploy_contract_ui
|
Gradio wrapper for contract deployment
|
source_code, contract_name, from_account, constructor_args_str
|
gradio-eth-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/gradio-eth-mcp
| 0
|
2025-06-06T20:23:45.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-youtube-video-analysis-mcp.hf.space/gradio_api/mcp/sse
|
YouTube_Video_Analysis_MCP_analyze_video
|
url, question
|
YouTube-Video-Analysis-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/YouTube-Video-Analysis-MCP
| 0
|
2025-06-06T21:37:22.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-stocksense.hf.space/gradio_api/mcp/sse
|
StockSense_stock_sentiment_pipeline
|
Analyzes stock news sentiment by fetching articles and performing sentiment analysis. Returns: A list of dictionaries with article metadata and sentiment results.
|
ticker, max_articles
|
StockSense
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/StockSense
| 0
|
2025-06-07T09:46:42.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-website-builder.hf.space/gradio_api/mcp/sse
|
Website_Builder_generate_website
|
Generates a simple website mockup based on the user's design request. Returns: HTML code for the website mockup.
|
design_request
|
Website_Builder
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Website_Builder
| 0
|
2025-06-07T10:39:12.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-ncbi-blast-mcp-server.hf.space/gradio_api/mcp/sse
|
ncbi_blast_mcp_server_blast_for_mcp
|
seq
|
ncbi-blast-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ncbi-blast-mcp-server
| 0
|
2025-06-07T15:31:46.000Z
|
gradio, mcp-server-track, bioinformatics, dna, mcp-server, region:us
|
|
https://agents-mcp-hackathon-hackaton-agent-mcp-hg.hf.space/gradio_api/mcp/sse
|
Hackaton_Agent_MCP_HG_CodeAgent
|
In this agent, the tool calls will be formulated by the LLM in code format, then parsed and executed.
|
task
|
Hackaton-Agent-MCP-HG
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Hackaton-Agent-MCP-HG
| 0
|
2025-06-07T16:57:25.000Z
|
gradio, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-smartledger.hf.space/gradio_api/mcp/sse
|
SmartLedger_process_dual_upload
|
Process both image and CSV files and reconcile transactions
|
image_file, csv_file
|
SmartLedger
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartLedger
| 0
|
2025-06-07T17:18:37.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-self-improving-ai-mcp-server.hf.space/gradio_api/mcp/sse
|
self_improving_ai_mcp_server_configure_handit_tracker
|
Configure the Handit tracker with API credentials. Returns: Configuration status message
|
api_key, tracking_url
|
self-improving-ai-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/self-improving-ai-mcp-server
| 0
|
2025-06-07T22:00:14.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-self-improving-ai-mcp-server.hf.space/gradio_api/mcp/sse
|
self_improving_ai_mcp_server_start_agent_tracing
|
Start tracing an AI agent execution. Call this at the beginning of any agent workflow. Returns: JSON response with execution_id for tracking
|
agent_name, api_key
|
self-improving-ai-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/self-improving-ai-mcp-server
| 0
|
2025-06-07T22:00:14.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-self-improving-ai-mcp-server.hf.space/gradio_api/mcp/sse
|
self_improving_ai_mcp_server_track_agent_node
|
Track a specific node execution within an agent workflow. Call this for each step in your agent. Returns: JSON response with tracking status
|
input_data, output_data, node_name, agent_name, node_type, execution_id, api_key
|
self-improving-ai-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/self-improving-ai-mcp-server
| 0
|
2025-06-07T22:00:14.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-self-improving-ai-mcp-server.hf.space/gradio_api/mcp/sse
|
self_improving_ai_mcp_server_get_optimized_prompts
|
Get optimized prompts for an agent. Use this before LLM calls to get the best performing prompts. Returns: JSON response with optimized prompts
|
agent_slug, api_key
|
self-improving-ai-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/self-improving-ai-mcp-server
| 0
|
2025-06-07T22:00:14.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-self-improving-ai-mcp-server.hf.space/gradio_api/mcp/sse
|
self_improving_ai_mcp_server_end_agent_tracing
|
End tracing an AI agent execution. Call this at the end of any agent workflow. Returns: JSON response with completion status
|
execution_id, agent_name, api_key
|
self-improving-ai-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/self-improving-ai-mcp-server
| 0
|
2025-06-07T22:00:14.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-ai-cybersecurity-agent.hf.space/gradio_api/mcp/sse
|
ai_cybersecurity_agent_chatbot_response
|
user_input, file, history
|
ai-cybersecurity-agent
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ai-cybersecurity-agent
| 0
|
2025-06-08T08:59:15.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-ecomind-ai-sustainability.hf.space/gradio_api/mcp/sse
|
ecomind_ai_sustainability_calculate_code_carbon_footprint
|
Calculate the carbon footprint of a codebase. Returns: Detailed carbon footprint analysis with recommendations
|
github_url, deployment_info
|
ecomind-ai-sustainability
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ecomind-ai-sustainability
| 0
|
2025-06-08T11:41:15.000Z
|
gradio, mcp-server-track, sustainability, environment, carbon-footprint, energy-optimization, mcp-server, region:us
|
https://agents-mcp-hackathon-ecomind-ai-sustainability.hf.space/gradio_api/mcp/sse
|
ecomind_ai_sustainability_optimize_energy_consumption
|
Analyze code and suggest energy consumption optimizations. Returns: Optimization suggestions with estimated energy savings
|
code_snippet, language
|
ecomind-ai-sustainability
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ecomind-ai-sustainability
| 0
|
2025-06-08T11:41:15.000Z
|
gradio, mcp-server-track, sustainability, environment, carbon-footprint, energy-optimization, mcp-server, region:us
|
https://agents-mcp-hackathon-ecomind-ai-sustainability.hf.space/gradio_api/mcp/sse
|
ecomind_ai_sustainability_analyze_app_environmental_impact
|
Analyze the complete environmental impact of an application. Returns: Comprehensive environmental impact analysis
|
app_description, user_count, tech_stack
|
ecomind-ai-sustainability
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ecomind-ai-sustainability
| 0
|
2025-06-08T11:41:15.000Z
|
gradio, mcp-server-track, sustainability, environment, carbon-footprint, energy-optimization, mcp-server, region:us
|
https://agents-mcp-hackathon-ecomind-ai-sustainability.hf.space/gradio_api/mcp/sse
|
ecomind_ai_sustainability_generate_sustainability_report
|
Generate executive sustainability report for multiple applications. Returns: Executive sustainability report
|
company_name, apps_analyzed, timeframe
|
ecomind-ai-sustainability
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ecomind-ai-sustainability
| 0
|
2025-06-08T11:41:15.000Z
|
gradio, mcp-server-track, sustainability, environment, carbon-footprint, energy-optimization, mcp-server, region:us
|
https://agents-mcp-hackathon-ecomind-ai-sustainability.hf.space/gradio_api/mcp/sse
|
ecomind_ai_sustainability_suggest_green_alternatives
|
Suggest environmentally friendly technology alternatives. Returns: Suggestions for greener technology alternatives
|
current_tech, use_case
|
ecomind-ai-sustainability
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ecomind-ai-sustainability
| 0
|
2025-06-08T11:41:15.000Z
|
gradio, mcp-server-track, sustainability, environment, carbon-footprint, energy-optimization, mcp-server, region:us
|
https://agents-mcp-hackathon-cafchem-adme.hf.space/gradio_api/mcp/sse
|
CafChem_ADME_calc_adme
|
Calculate the ADME properties of a molecule from a SMILES string. These properties, covering absorption, distribution, metabolism, and excretion, describe how a drug is transported and is processed by the body. They should follow Lipinkski's rule of 5 for a viable drug. Returns: The qualitative estimate of drug-likeness (QED), the molecular weight, the, distribution coefficient (aLogP), the number of hydrogen bond donors,, the number of hydrogen bond acceptors, the polar surface area,the number, of rotatable bonds, the number of aromatic rings, and the number of undesireable, moieties all in a text string., An image of the molecule.
|
smile
|
CafChem-ADME
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/CafChem-ADME
| 0
|
2025-06-08T12:57:41.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-cafchem-vibrations.hf.space/gradio_api/mcp/sse
|
CafChem_Vibrations_calc_vibrations
|
Calculate the vibrational frequencies of a molecule using the META UMA MLIP, starting from a SMILES string. Returns: The vibrational frequencies of the molecule in cm-1, the low, frequency motions (typically corresponding to translation or, rotation), and the number of imaginary frequencies in a text string
|
smile, struct_type
|
CafChem-Vibrations
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/CafChem-Vibrations
| 0
|
2025-06-08T13:00:40.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-mcp-server-emotion-detection.hf.space/gradio_api/mcp/sse
|
MCP_Server_Emotion_Detection_generate_emotion_response
|
Generate an emotion image and response text based on input text
|
text
|
MCP_Server_Emotion_Detection
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Server_Emotion_Detection
| 0
|
2025-06-08T15:40:03.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-ehottl-take-1.hf.space/gradio_api/mcp/sse
|
ehottl_take_1_letter_counter
|
Count the occurrences of a specific letter in a word. Returns: The number of times the letter appears in the word
|
word, letter
|
ehottl-take-1
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/ehottl-take-1
| 0
|
2025-06-09T01:18:18.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-jobcy-remote-job-search.hf.space/gradio_api/mcp/sse
|
Jobcy_Remote_Job_Search_search_jobs_ui
|
Search remote jobs from the Jobicy API with optional filters. Returns: A dictionary with a "jobs" key containing a list of job dictionaries with:, title: Job title, company: Company name, location: Job location, url: Application or job posting URL, pubDate: Date posted (YYYY-MM-DD), salary: Salary range or 'Not specified', Or an "error" key with an error message if the fetch fails.
|
industry, country, keyword, limit
|
Jobcy-Remote-Job-Search
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Jobcy-Remote-Job-Search
| 0
|
2025-06-09T01:42:36.000Z
|
gradio, mcp-server-track, jobs, job_search, mcp_server, mcp-server, region:us
|
https://agents-mcp-hackathon-kokorotts-mcp.hf.space/gradio_api/mcp/sse
|
KokoroTTS_MCP_makeaudio
|
Function to generate wav audio clip from english text input.
|
text, voice, speed
|
KokoroTTS-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/KokoroTTS-MCP
| 0
|
2025-06-09T01:55:03.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-medicare-medicaid-leie.hf.space/gradio_api/mcp/sse
|
Medicare_Medicaid_LEIE_generate_states
|
Function to aggregate the Medicare and Medicaid Entity Exclusions by City and State. System examines the most recent Office of Inspector General (OIG) List of Excluded Individuals and Entities (LEIE) which legally excludes an entity from receiving any Federal Medicare or Medicaid funds. System aggregates the information by city and state, and generates a list ordered by prevalence. Example use case: "Which city and state have the most medicare and medicaid entity exclusions?". Original Data can be found here: https://oig.hhs.gov/exclusions/downloadables/UPDATED.csv
|
limit20
|
Medicare_Medicaid_LEIE
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Medicare_Medicaid_LEIE
| 0
|
2025-06-09T02:16:31.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-medicare-medicaid-leie.hf.space/gradio_api/mcp/sse
|
Medicare_Medicaid_LEIE_generate_top
|
Function to aggregate and list Medicare and Medicaid Fraud Practitioner Exclusions by state. System examines the most recent Office of Inspector General List of Excluded Individuals and Entities (LEIE) and aggregates the number of excluded entities by state. A shorter list of the top 20 locations can be returned with a True flag. Example use includes "which states have the most excluded entities?". Original Data can be found here: https://oig.hhs.gov/exclusions/downloadables/UPDATED.csv
|
limit20
|
Medicare_Medicaid_LEIE
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Medicare_Medicaid_LEIE
| 0
|
2025-06-09T02:16:31.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-medicare-medicaid-leie.hf.space/gradio_api/mcp/sse
|
Medicare_Medicaid_LEIE_lookup
|
Function to lookup a name in the Office of Inspector General (OIG) List of Excluded Individuals & Entitites (LEIE) who are legally excluded from receiving any Federal Medicare or Medicaid funds for services. Search can look for first name, last name, or both. All persons are presumed innocent unless the name and address match the results of a search. For legal chain of custody reasons, this information is inadmissable, but can be verified on the US Health and Human Services Website here: https://exclusions.oig.hhs.gov/
|
last, first
|
Medicare_Medicaid_LEIE
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Medicare_Medicaid_LEIE
| 0
|
2025-06-09T02:16:31.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_upload_file_to_server
|
Upload a file to the server's video directory and return a URL. Supports various video formats and handles format detection. Returns: URL to access the uploaded file or None if failed
|
file_path
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_change_aspect_ratio
|
Change video aspect ratio with high-quality processing. Returns: URL to processed video or None if failed, , Supports standard ratios with optimal dimensions, Maintains quality with lanczos scaling, Handles padding with black bars, Preserves original audio, Ensures even dimensions for compatibility
|
video_url, target_ratio, method
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_add_text_overlay
|
Add text overlay to video with precise positioning and timing control. Returns: URL to output video or None if failed
|
video_url, text, start_time, end_time, font_size, font_color, x_pos, y_pos, box, box_color, box_border_width, font_file
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_change_speed
|
Change video playback speed while maintaining audio quality. Returns: URL to processed video or None if failed, , Handles audio speed limits (0.5-2.0) by chaining atempo filters, Maintains video and audio synchronization, Preserves original quality
|
video_url, speed_factor
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_extract_audio
|
Extract high-quality audio from video in various formats. Returns: URL to extracted audio or None if failed, , Supports multiple audio formats with appropriate codecs, Maintains original audio quality, Handles various input video formats
|
video_url, audio_format
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_apply_color_filter
|
Apply professional-grade color filters to video. Returns: URL to processed video or None if failed, , Implements various color transformations, Supports intensity control, Maintains video quality, Preserves original audio
|
video_url, filter_type, intensity
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_merge_videos
|
Merge multiple videos into a single video. Returns: URL to merged video or None if failed, , Handles various input formats, Maintains original quality, Preserves audio from all videos, Gracefully handles failed downloads
|
video_urls
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_add_audio_to_video
|
Add audio to video with precise timing and volume control. Returns: URL to processed video or None if failed, , Supports both local and remote audio files, Handles audio mixing with original track, Maintains video quality, Preserves audio synchronization
|
video_url, audio_path, start_time, volume, keep_original_audio
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_analyze_video_context
|
This is an AI modal that can analyze the entire video along with timestamps. You can use this to analyze the context of a video. Returns: The response from the GEMINI AI MODEL.
|
video_url, task
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_edit_video_segment
|
Edit a video segment by either cutting it out or keeping only that segment. Returns: URL to processed video or None if failed, , For "keep": Extracts segment with 1-second padding for smooth transitions, For "cut": Splits video into segments and concatenates non-cut portions, Preserves both video and audio quality, Uses x264 for video and AAC for audio encoding
|
video_url, start_time, end_time, action
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_generate_word_level_subtitles_from_url
|
Generate and add word-level subtitles to video from URL. Returns: URL to processed video or error message, , Downloads and validates video, Fetches word-level transcription, Generates SRT subtitles, Applies styling and positioning, Maintains video quality, Handles cleanup of temporary files
|
video_url, font_size, font_color, position, font_name, outline_color, outline_width
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-video-editing-genie-mcp-server.hf.space/gradio_api/mcp/sse
|
video_editing_genie_mcp_server_search_audio_from_envato
|
Search Envato's audio library for royalty-free sound effects and music. Returns: List of audio items with metadata and preview URLs
|
query, limit, category, length_min, length_max, tags, free_only
|
video_editing_genie_mcp_server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/video_editing_genie_mcp_server
| 0
|
2025-06-09T06:46:03.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-t2i.hf.space/gradio_api/mcp/sse
|
T2I_text_to_images_and_base64_generator
|
Converts text into images, returning both PIL objects for UI preview and base64 strings for an API/MCP client, with customizable options.
|
text_content, style, font_size, bg_color_name, aspect_ratio_str, font_choice
|
T2I
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/T2I
| 0
|
2025-06-09T08:04:31.000Z
|
gradio, mcp-server-track, agent-demo-track, text-to-image, document-generation, image-creation, text-formatting, visual-content, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_launch_sandbox
|
Launches a new Modal sandbox with specified configuration. Useful for creating isolated Python environments, running code with specific dependencies, testing in clean environments, executing long-running tasks, running GPU-accelerated workloads, training machine learning models, and running inference on large models. Returns: JSON string containing sandbox_id, status, python_version and installed packages
|
app_name, python_version, pip_packages, apt_packages, timeout_seconds, cpu, memory, secrets, volumes, inject_predefined_secrets, workdir, gpu_type, gpu_count
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_terminate_sandbox
|
Terminates a Modal sandbox by its ID. Useful for stopping running sandboxes that are no longer needed, cleaning up resources, forcefully ending long-running or stuck sandboxes, and managing sandbox lifecycle. Returns: JSON string containing success status and termination message
|
sandbox_id
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_list_sandboxes
|
Lists all Modal sandboxes for a specific app namespace and their current status. Useful for monitoring active Modal sandbox environments, checking which sandboxes are running, and getting sandbox IDs for further management operations. Returns: JSON string containing list of sandboxes with their IDs and status
|
app_name
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_execute_command
|
Executes a command in a specified Modal sandbox environment. Useful for running arbitrary commands in isolated environments, testing scripts and programs, executing programs with specific dependencies, debugging environment-specific issues, and running automated tests in isolation. Note: Commands are processed using shlex.split() and executed via subprocess.run(), so shell operators like &&, ||, |, >, < are not supported. Use separate command calls for chaining operations. Returns: JSON string containing stdout, stderr, returncode and execution time
|
sandbox_id, command, timeout_seconds
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_push_file_to_sandbox
|
Copies a file from the local filesystem to a Modal sandbox. Useful for uploading input files, transferring configuration files, setting up sandbox environments, and deploying code to sandboxes. Returns: JSON string containing success status, paths and file size
|
sandbox_id, local_path, sandbox_path, read_file_mode, writefile_mode
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_pull_file_from_sandbox
|
Copies a file from a Modal sandbox to the local filesystem. Useful for retrieving output files, backing up sandbox data, analyzing sandbox-generated content locally, and debugging sandbox operations. Returns: JSON string containing success status, paths and file size
|
sandbox_id, sandbox_path, local_path
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_list_directory_contents
|
Lists contents of a directory in the sandbox. Useful for exploring sandbox filesystem structure, verifying file operations, debugging file-related issues, and managing sandbox content. Returns: JSON string containing list of directory contents
|
sandbox_id, path
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_make_directory
|
Creates a new directory in the sandbox. Useful for setting up directory structures, preparing for file operations, and organizing sandbox content. Returns: JSON string containing success status and created path
|
sandbox_id, path, parents
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_remove_path
|
Removes a file or directory from the sandbox. Useful for cleaning up temporary files, removing unwanted content, and managing sandbox storage. Returns: JSON string containing success status and removed path
|
sandbox_id, path, recursive
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_read_file_content_from_sandbox
|
Reads the content of a file in the sandbox. Useful for viewing file contents without downloading, debugging sandbox operations, checking operation results, and quick file inspection. Returns: JSON string containing the file content
|
sandbox_id, path
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_write_file_content_to_sandbox
|
Writes content to a file in a Modal sandbox. Useful for writing code, text, or any other content, rapid prototyping, creating boilerplate code, implementing algorithms, and generating test cases. Returns: JSON string containing success status and written file path
|
sandbox_id, sandbox_path, content
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_add_problem_solving_template
|
Adds a problem-solving template to the database that defines a sequence of Modal sandbox tool operations to solve a specific task. Templates provide guidance on tool orchestration, required variables, volumes, and dependencies for common use cases like resume screening, code analysis, data processing etc. For example, a resume screening template would specify: 1. Required volumes for storing resumes and results 2. Python packages needed (e.g., PyPDF2, spacy) 3. Sequence of sandbox operations: - Launch sandbox with specific memory/CPU requirements - Create directories for resumes and results - Push resume files to sandbox - Execute NLP processing commands - Pull results from sandbox - Clean up resources. Returns: JSON string containing:, success (bool): Whether template was added successfully, template_id (str): Unique ID of added template, message (str): Status message
|
name, description, required_tools, required_volumes, required_packages, tool_sequence, resource_requirements, example_usage
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-modal-sandbox-mcp.hf.space/gradio_api/mcp/sse
|
modal_sandbox_mcp_search_problem_solving_templates
|
Performs semantic search across problem-solving templates to find the most relevant ones for a given task. Useful for discovering existing solutions, finding similar use cases, and reusing proven template patterns. The search uses semantic similarity to match task descriptions with template descriptions and requirements. Returns: JSON string containing an array of template matches, each with:, template_id (str): Unique identifier of the template, name (str): Template name, description (str): Template description, similarity_score (float): Semantic similarity score (0-1), required_tools (List[str]): Tools needed by the template, required_packages (List[str]): Dependencies needed, resource_requirements (Dict): CPU/memory/GPU requirements
|
task_description, top_k
|
modal_sandbox_mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/modal_sandbox_mcp
| 0
|
2025-06-09T10:01:00.000Z
|
gradio, mcp-server-track, modal, sandbox, mcp, cloud-computing, python, ml, hackathon, vector-database, embeddings, workflow-automation, mcp-server, region:us
|
https://agents-mcp-hackathon-automl-mcp.hf.space/gradio_api/mcp/sse
|
AutoML_MCP_update_detected_columns_display
|
Detects and displays column names from the uploaded file or URL as soon as the input changes, before the main analysis button is pressed.
|
file_data, url_data
|
AutoML-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AutoML-MCP
| 0
|
2025-06-09T12:26:21.000Z
|
gradio, machine-learning, mcp, hackathon, automl, lazypredict, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-automl-mcp.hf.space/gradio_api/mcp/sse
|
AutoML_MCP_update_detected_columns_display_
|
Detects and displays column names from the uploaded file or URL as soon as the input changes, before the main analysis button is pressed.
|
file_data, url_data
|
AutoML-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AutoML-MCP
| 0
|
2025-06-09T12:26:21.000Z
|
gradio, machine-learning, mcp, hackathon, automl, lazypredict, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-automl-mcp.hf.space/gradio_api/mcp/sse
|
AutoML_MCP_process_inputs
|
file_data, url_data, target, api_key
|
AutoML-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AutoML-MCP
| 0
|
2025-06-09T12:26:21.000Z
|
gradio, machine-learning, mcp, hackathon, automl, lazypredict, mcp-server-track, agent-demo-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-stock-predictions.hf.space/gradio_api/mcp/sse
|
stock_predictions_daily_analysis
|
Process daily timeframe stock analysis and generate predictions. Returns: A tuple containing:, Trading signals dictionary, Plotly figure with price and technical analysis, Product metrics dictionary, Risk metrics dictionary, Sector metrics dictionary, , >>> daily_analysis("AAPL", 30, 365, "chronos"), 'Neutral', 'MACD': 'Buy', ...}, <Figure>, {...}, {...}, {...})
|
s, pd, ld, st
|
stock-predictions
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/stock-predictions
| 0
|
2025-06-09T13:14:01.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-stock-predictions.hf.space/gradio_api/mcp/sse
|
stock_predictions_hourly_analysis
|
Process hourly timeframe stock analysis and generate predictions. Returns: A tuple containing:, Trading signals dictionary, Plotly figure with price and technical analysis, Product metrics dictionary, Risk metrics dictionary, Sector metrics dictionary, , >>> hourly_analysis("AAPL", 3, 14, "chronos"), 'Neutral', 'MACD': 'Buy', ...}, <Figure>, {...}, {...}, {...})
|
s, pd, ld, st
|
stock-predictions
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/stock-predictions
| 0
|
2025-06-09T13:14:01.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-stock-predictions.hf.space/gradio_api/mcp/sse
|
stock_predictions_min15_analysis
|
Process 15-minute timeframe stock analysis and generate predictions. Returns: A tuple containing:, Trading signals dictionary, Plotly figure with price and technical analysis, Product metrics dictionary, Risk metrics dictionary, Sector metrics dictionary, , >>> min15_analysis("AAPL", 1, 3, "chronos"), 'Neutral', 'MACD': 'Buy', ...}, <Figure>, {...}, {...}, {...})
|
s, pd, ld, st
|
stock-predictions
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/stock-predictions
| 0
|
2025-06-09T13:14:01.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-convert-to-json.hf.space/gradio_api/mcp/sse
|
Convert_to_Json_text_to_json
|
Convert plain text to structured JSON using Osmosis Structure model. This function takes unstructured text and optionally a JSON schema, then uses the Osmosis Structure model to convert it into well-formatted JSON. The output will follow the provided schema if one is given, otherwise it will create a logical structure based on the input text. Returns: A JSON string containing the structured data, or an error message if something went wrong., , >>> input_text = "The conference will be held on June 10-12, 2024 at the Grand Hotel.", "object", "properties": {"event_start_date": {"type": "string", "format": "date"}}}', >>> result = text_to_json(input_text, schema), >>> print(result), {, "2024-06-10", }
|
input_text, schema_text, max_tokens, temperature, top_p, top_k
|
Convert-to-Json
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Convert-to-Json
| 0
|
2025-06-09T13:16:33.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-convert-to-json.hf.space/gradio_api/mcp/sse
|
Convert_to_Json_text_to_json_
|
Convert plain text to structured JSON using Osmosis Structure model. This function takes unstructured text and optionally a JSON schema, then uses the Osmosis Structure model to convert it into well-formatted JSON. The output will follow the provided schema if one is given, otherwise it will create a logical structure based on the input text. Returns: A JSON string containing the structured data, or an error message if something went wrong., , >>> input_text = "The conference will be held on June 10-12, 2024 at the Grand Hotel.", "object", "properties": {"event_start_date": {"type": "string", "format": "date"}}}', >>> result = text_to_json(input_text, schema), >>> print(result), {, "2024-06-10", }
|
input_text, schema_text, max_tokens, temperature, top_p, top_k
|
Convert-to-Json
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Convert-to-Json
| 0
|
2025-06-09T13:16:33.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-kaggle-mcp.hf.space/gradio_api/mcp/sse
|
kaggle_mcp_competitions_list
|
List Kaggle competitions with optional filtering and pagination. Returns: Formatted JSON string containing list of competitions with their details, , Each page contains 20 competitions. Use pagination for larger result sets.
|
group, category, sort_by, page, search, kaggle_user, kaggle_key
|
kaggle-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/kaggle-mcp
| 0
|
2025-06-09T15:08:32.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-kaggle-mcp.hf.space/gradio_api/mcp/sse
|
kaggle_mcp_competition_view
|
View detailed information about a specific competition including leaderboard. Returns: Formatted JSON string containing competition leaderboard data, , This function specifically returns leaderboard information. For file listings,, use separate API calls to the competitions files endpoint., , competition_view("titanic") returns leaderboard standings for the Titanic competition
|
competition, kaggle_user, kaggle_key
|
kaggle-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/kaggle-mcp
| 0
|
2025-06-09T15:08:32.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
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