Gradio MCP endpoint
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| Created at
stringdate 2025-06-01 15:26:20
2025-06-11 12:39:01
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https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_track_visualization
|
Generate a visualization of the track with specified data.
|
year, round, visualization_type
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_get_session_results
|
Retrieve and format the results of a specific session.
|
year, round, session_type
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_get_driver_info
|
Retrieve detailed information about a specific driver.
|
driver_name
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_get_constructor_info
|
Retrieve detailed information about a specific constructor.
|
constructor_name
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_get_api_endpoints
|
Retrieve a list of all available OpenF1 API endpoints. Returns: dict: A dictionary containing a single key 'endpoints' with a list of available endpoint names as strings.
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_get_api_endpoint
|
Retrieve the API endpoint URL and filter metadata for a given OpenF1 endpoint.
|
endpoint
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_get_endpoint_info
|
Retrieve detailed information about a specific OpenF1 API endpoint.
|
endpoint
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_get_filter_info
|
Retrieve detailed information about a specific OpenF1 API filter.
|
filter_name
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_get_filter_string
|
Create a filter string for OpenF1 API requests.
|
filter_name, filter_value, operator
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_apply_filters
|
Apply one or more filter strings to an API endpoint URL.
|
api_string, param_1
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse
|
f1_mcp_server_send_request
|
Send an HTTP GET request to the specified API endpoint and return the JSON response.
|
api_string
|
f1-mcp-server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/f1-mcp-server
| 4
|
2025-06-02T12:40:51.000Z
|
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-academia-mcp-gradio.hf.space/gradio_api/mcp/sse
|
academia_mcp_gradio_arxiv_search
|
Search arXiv papers with field-specific queries. Fields: all: (all fields), ti: (title), au: (author), abs: (abstract), cat: (category), id: (ID without version) Operators: AND, OR, ANDNOT Please always specify the fields. Search should always be field-specific. You can search for an exact match of an entire phrase by enclosing the phrase in double quotes. If you do not need an exact match of a phrase, use single terms with OR/AND. Boolean operators are strict. OR is better in most cases. Do not include date constraints in the query: use "start_date" and "end_date" parameters instead. Use Latin script for names. For example, search "Ilya Gusev" instead of "Илья Гусев". Example queries: all:"machine learning" au:"del maestro" au:vaswani AND abs:"attention is all" all:role OR all:playing OR all:"language model" (au:vaswani OR au:"del maestro") ANDNOT ti:attention Returns a JSON object serialized to a string. The structure is: {"total_count": ..., "returned_count": ..., "offset": ..., "results": [...]} Every item in the "results" has the following fields: ("index", "id", "title", "authors", "abstract", "published", "updated", "categories", "comment") Use `json.loads` to deserialize the result if you want to get specific fields.
|
query, offset, limit, start_date, end_date, sort_by, sort_order, include_abstracts
|
academia_mcp_gradio
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/academia_mcp_gradio
| 4
|
2025-06-04T09:32:23.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-academia-mcp-gradio.hf.space/gradio_api/mcp/sse
|
academia_mcp_gradio_arxiv_download
|
Downloads a paper from Arxiv and converts it to text. Use mode = "html" by default. Fall back to mode = "pdf" if there are any problems with the HTML version. Returns a JSON with a following structure: { "title": "...", "abstract": "...", "toc": "...", "sections": ["...", ...], "citations": [...] } Use `json.loads` to deserialize the result if you want to get specific fields. For example, `abstract = json.loads(arxiv_download("2409.06820v1"))` The "toc" key contains Table of Contents, that sometimes has indexing for sections.
|
paper_id, include_citations, mode
|
academia_mcp_gradio
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/academia_mcp_gradio
| 4
|
2025-06-04T09:32:23.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-academia-mcp-gradio.hf.space/gradio_api/mcp/sse
|
academia_mcp_gradio_s2_citations
|
Get all papers that cited a given arXiv paper based on Semantic Scholar info. Returns a JSON object serialized to a string. The structure is: {"total_count": ..., "returned_count": ..., "offset": ..., "results": [...]} Every item in the "results" has the following fields: ("arxiv_id", "external_ids", "title", "authors", "venue", "citation_count", "publication_date") Use `json.loads` to deserialize the result if you want to get specific fields.
|
arxiv_id, offset, limit
|
academia_mcp_gradio
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/academia_mcp_gradio
| 4
|
2025-06-04T09:32:23.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-academia-mcp-gradio.hf.space/gradio_api/mcp/sse
|
academia_mcp_gradio_hf_datasets_search
|
Search or filter HF datasets. Examples: List only the datasets in Russian for language modeling: hf_datasets_search(filter=(language:ru", "task_ids:language-modeling")) List all recent datasets with "text" in their name hf_datasets_search(query="text", sort_by="last_modified") Returns a JSON object serialized to a string. The structure is: {"results": [...]} Every item in the "results" has the following fields: ("id", "created_at", "last_modified", "downloads", "likes", "tags") Use `json.loads` to deserialize the result if you want to get specific fields.
|
query, search_filter, limit, sort_by, sort_order
|
academia_mcp_gradio
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/academia_mcp_gradio
| 4
|
2025-06-04T09:32:23.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-academia-mcp-gradio.hf.space/gradio_api/mcp/sse
|
academia_mcp_gradio_anthology_search
|
Search ACL Anthology papers with field-specific queries. Fields: all: (all fields), ti: (title), au: (author), abs: (abstract), cat: (category), id: (ID without version) Operators: AND, OR, ANDNOT Please always specify the fields. Search should always be field-specific. You can search for an exact match of an entire phrase by enclosing the phrase in double quotes. If you do not need an exact match of a phrase, use single terms with OR/AND. Boolean operators are strict. In most cases, you need OR and not AND. You can scroll all search results with the "offset" parameter. Do not include date constraints in the query: use "start_date" and "end_date" parameters instead. The names of authors should be in Latin script. For example, search "Ilya Gusev" instead of "Илья Гусев". Example queries: abs:"machine learning" au:"del maestro" au:vaswani AND ti:"attention is all" all:role OR all:playing OR all:"language model" (au:vaswani OR au:"del maestro") ANDNOT ti:attention Return a JSON object serialized to a string. The structure is: {"total_count": ..., "returned_count": ..., "offset": ..., "results": [...]} Every item in the "results" has the following fields: ("index", "id", "title", "authors", "abstract", "published", "updated", "categories", "comment") You can use `json.loads` to deserialize the result and get specific fields.
|
query, offset, limit, start_date, end_date, sort_by, sort_order, include_abstracts
|
academia_mcp_gradio
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/academia_mcp_gradio
| 4
|
2025-06-04T09:32:23.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_handle_connection
|
host, port, database, user, password
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_get_schemas
|
### `get_schemas()`
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_get_db_infos
|
### `get_db_infos()`
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_get_list_of_tables_in_schema
|
### `get_list_of_tables_in_schema(schema_name: str)`
|
schema
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_get_list_of_column_in_table
|
### `get_list_of_column_in_table(schema_name: str, table_name: str)`
|
schema, table
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_run_read_only_query
|
### `run_read_only_query(query: str)`
|
query
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_serve_image_from_path
|
Serve the sample image
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_create_table_from_query
|
### `create_table_from_query(table_name: str, source_query: str)`
|
table_name, source_query
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_drop_table
|
### `drop_table(table_name: str)`
|
table_name
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_generate_code_wrapper
|
### `generate_code_wrapper(user_request: str)` - **Purpose**: Generate Python code based on user request - **Parameters**: `user_request` - Textual description of the analysis - **Returns**: Generated code and status message - **Use Case**: AI-powered code generation for data analysis
|
user_request
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_generate_graph_wrapper
|
### `generate_graph_wrapper(graph_type: str, data_json: str)` - **Purpose**: Create visualizations using matplotlib - **Parameters**: `graph_type` - Type of chart (bar, line, pie, scatter) - **Returns**: Image file path and status - **Use Case**: Creating charts and graphs for presentations
|
graph_type, data_json
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_download_file_wrapper
|
### `download_file_wrapper(file_path: str)` - **Purpose**: Download files from the service - **Use Case**: Retrieving generated reports or datasets
|
file_path
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_embed_text_modal_api
|
This function allows you to send a list of text to be embeded by our external model. the format should be the following: [ "text_to_embed 1", "text_to_embed 2", "text_to_embed 3", ... ] the return is the vector embedding corresponding to the text you input or a list of vector in case you gave a list of text. thoses vectors are compatible with the one you can find in the database and can be used to be compared with vectors you'll get by querying the database.
|
text
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_query_and_generate_graph_wrapper
|
Executes a SQL query and generates a graph visualization from the results. This function is particularly useful when query results are too large for the context window or when visual representation of data is preferred over tabular format. Returns: A tuple containing:, image_path (str or None): Path to the generated graph image if successful, None if failed, status (str): Status message indicating success or error details
|
query, graph_type
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_do_annova
|
this function runs the annova on the dataset and render the associated F_score and p_value table_name is the name of the table on which you want to run the ANOVA the selected table MUST have the following signature: groups | measurement exemple with the product_type_age table: type | age ---------- 'Coat', '36' 'Coat', '36' 'Hat/beanie', '32' ... min_sample_size is used to exclude categories that does not have enough measurement. default = 0: all categories are selected return type is: dict { "F-statistic": round(f_stat, 3), "p-value": round(p_value, 3) }
|
table_name, min_sample_size
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_do_tukey_test
|
this function runs a Tukey's HSD (Honestly Significant Difference) test — a post-hoc analysis following ANOVA. It tells you which specific pairs of groups differ significantly in their means IT is meant to be used after you run a successful anova and you obtain sgnificant F-satatistics and p-value table_name is the name of the table on which you want to run the ANOVA the selected table MUST have the following signature: groups | measurement exemple with the product_type_age table: type | age ---------- 'Coat', 36 'Coat', 36 'Hat/beanie', 32 ... min_sample_size is used to exclude categories that does not have enough measurement. default = 0: all categories are selected the return result is the raw dataframe that correspond to the pair wize categorie that reject the hypothesis of non statistically difference between two group the signature of the dataframe is the following: group1 | group2 | meandiff p-adj | lower | upper | reject (only true)
|
table_name, min_sample_size
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_do_tsne_embedding
|
this tool allow to run a TSNE dimensionality reduction algorythme and a clustering (HDBSCAN) on top of that. the input query, is a sql query that MUST return a table with at least the item id and the corresponding embeddding. FOR COMPUTATIONAL PURPOSE, THE QUERY YOU SEND MUST NOT RETURN A TABLE GREATER THAN 500 OUTPUT ROWS exemple: result = db_connection.read_only_query(query) result shape: article_id | embedding 0125456 | [0.3, 0.5 ...] the return is a dictionnary that has the following format: return { "ids": ids, "x_axis": tsne_projection_x_list, "y_axis": tsne_projection_y_list, "labels": labels }
|
query
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_do_vector_centroid
|
this tool allow you to compute the centroid of a list of embedding vectors the input query, is a sql query that MUST return a table with only 1 column, the embeddings. exemple: result = db_connection.read_only_query(query) result shape: embedding [0.3, 0.5 ...] the return value is the computed centroid vector, that you can use to work with.
|
query
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-e-commerce-analyst-mcp.hf.space/gradio_api/mcp/sse
|
E_commerce_analyst_MCP_get_mcp_server_instructions
|
Returns comprehensive usage guidelines and documentation for all MCP server functions. Call this function first to understand available tools, workflows, and best practices. This function provides: - Complete function documentation - Recommended workflows - Best practices for MCP clients - Database schema information - Statistical analysis guidelines
|
E-commerce_analyst_MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/E-commerce_analyst_MCP
| 4
|
2025-06-06T15:28:13.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-vibe-jamming-mcp.hf.space/gradio_api/mcp/sse
|
Vibe_Jamming_MCP_wav_to_musicxml
|
Convert a WAV audio file to a MusicXML score using pitch detection. Returns: File path to the generated MusicXML file., , If the MIDI file could not be generated.
|
wav_path
|
Vibe-Jamming-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Vibe-Jamming-MCP
| 4
|
2025-06-07T20:33:59.000Z
|
gradio, Agents-MCP-Hackathon, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-vibe-jamming-mcp.hf.space/gradio_api/mcp/sse
|
Vibe_Jamming_MCP_render_musicxml_via_verovio_api
|
Render a MusicXML file to an SVG score preview using the Verovio API. Returns: HTML string containing base64-encoded SVG score image, or error message on failure.
|
musicxml_path
|
Vibe-Jamming-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Vibe-Jamming-MCP
| 4
|
2025-06-07T20:33:59.000Z
|
gradio, Agents-MCP-Hackathon, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-vibe-jamming-mcp.hf.space/gradio_api/mcp/sse
|
Vibe_Jamming_MCP_generate_music_from_hum
|
Generate music from a humming audio file and a style prompt using an external MusicGen API. Returns: Path to the generated WAV music file, or error message on failure.
|
melody_file, prompt
|
Vibe-Jamming-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Vibe-Jamming-MCP
| 4
|
2025-06-07T20:33:59.000Z
|
gradio, Agents-MCP-Hackathon, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-vibe-jamming-mcp.hf.space/gradio_api/mcp/sse
|
Vibe_Jamming_MCP_generate_score_from_audio
|
Generate a MusicXML score from an input audio (.wav) file. Returns: File path to the generated MusicXML file, or error message on failure.
|
wav_file
|
Vibe-Jamming-MCP
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Vibe-Jamming-MCP
| 4
|
2025-06-07T20:33:59.000Z
|
gradio, Agents-MCP-Hackathon, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_update_duration_info
|
Update the duration info when a new file is uploaded This function is designed for UI purposes only to update Gradio interface elements when a new audio file is uploaded. It should NOT be used by agents or automated systems as it returns Gradio update objects for slider components. Agents should use the underlying audio utility functions directly instead.
|
audio_file
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_process_cut_audio
|
Process audio cutting to extract a segment from an audio file. This function loads an audio file, validates the time parameters, and cuts out a specific segment between the start and end times. It handles various audio formats and provides detailed error messages for troubleshooting. Returns: A tuple containing:, First element: Either a tuple of (sample_rate: int, audio_data: array), for the cut audio segment, or None if an error occurred, Second element: A status message string indicating success with details, or error information, , result, status = process_cut_audio("/path/to/audio.mp3", 10.5, 25.0), , sample_rate, audio_data = result, {status}"), , {status}"), , Time parameters are automatically validated and clamped to valid ranges, Start time must be less than end time after validation, Output audio data maintains the original sample rate, Function returns user-friendly status messages for UI display
|
audio_file, _start_time, _end_time
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_update_file_status
|
Update the status when audio files are uploaded
|
audio1_file, audio2_file
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_update_file_status_
|
Update the status when audio files are uploaded
|
audio1_file, audio2_file
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_process_merge
|
Process merging of two audio files
|
audio1_file, audio2_file
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_reset_everything
|
Reset all components to initial state
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_update_audio_info
|
This component should not be used by agents or automated systems.
|
audio_file
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_apply_normalization
|
Apply audio normalization to adjust the peak level of an audio file. This function loads an audio file and applies normalization to adjust the peak audio level to a specified target level in decibels (dB). It provides before and after statistics to show the effect of the normalization process. Returns: A tuple containing:, First element: Either a tuple of (sample_rate: int, normalized_audio_data: array), for the normalized audio result, or None if an error occurred, Second element: A status message string showing before/after peak levels, and success/error information, , result, status = apply_normalization("url/to/audio.mp3", -6.0), , sample_rate, audio_data = result, {status}"), , {status}"), , Target level is specified in decibels (dB), Common target levels: -6dB (moderate), -3dB (loud), -12dB (quiet), Positive target levels will amplify audio and may cause clipping, Negative target levels will reduce audio volume, Function preserves original sample rate and audio format, Returns comparison statistics showing original vs normalized peak levels
|
audio_file, target_level
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_apply_volume_adjustment
|
Apply volume adjustment to an audio file using gain in decibels. This function loads an audio file and applies a volume adjustment by the specified gain amount in decibels. Positive values increase volume, negative values decrease volume. The function also detects potential audio clipping when volume is increased. Returns: A tuple containing:, First element: Either a tuple of (sample_rate: int, adjusted_audio_data: array), for the volume-adjusted audio result, or None if an error occurred, Second element: A status message string indicating success with gain applied, and clipping warning if detected, or error information, , result, status = apply_volume_adjustment("url/to/audio.mp3", -3.0), , sample_rate, audio_data = result, {status}"), , {status}"), , Gain is specified in decibels (dB): +6dB doubles volume, -6dB halves volume, Positive gain values may cause clipping (distortion) if audio becomes too loud, Function automatically detects and warns about clipping, Preserves original sample rate and audio format, Safe range is typically -20dB to +6dB to avoid quality issues
|
audio_file, gain_db
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_apply_fades
|
Apply fade-in and fade-out effects to an audio file. This function loads an audio file and applies smooth fade-in and/or fade-out effects to eliminate abrupt starts/stops and create professional-sounding transitions. Fade effects gradually increase or decrease volume over the specified time periods. Returns: A tuple containing:, First element: Either a tuple of (sample_rate: int, faded_audio_data: array), for the fade-processed audio result, or None if an error occurred, Second element: A status message string showing applied fade durations, or error information, , result, status = apply_fades("url/to/audio.mp3", 1000, 2000), , sample_rate, audio_data = result, {status}"), , {status}"), , Fade durations are specified in milliseconds (1000ms = 1 second), Set either parameter to 0 to skip that fade effect, Fade-in gradually increases volume from silence at the beginning, Fade-out gradually decreases volume to silence at the end, Typical fade durations: 100-500ms (quick), 1000-3000ms (smooth), Preserves original sample rate and audio format, Fades are applied as smooth linear or exponential curves
|
audio_file, fade_in_ms, fade_out_ms
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_apply_reverse
|
Reverse the playback direction of an audio file. This function loads an audio file and reverses the audio data so that it plays backwards. This creates a reverse playback effect commonly used for artistic purposes, sound design, or audio analysis. Returns: A tuple containing:, First element: Either a tuple of (sample_rate: int, reversed_audio_data: array), for the reversed audio result, or None if an error occurred, Second element: A status message string indicating successful reversal, or error information, , result, status = apply_reverse("url/to/audio.mp3"), , sample_rate, audio_data = result, {status}"), , {status}"), , Reverses the entire audio file from end to beginning, Preserves original sample rate, duration, and audio quality, Commonly used for creative effects, sound design, or subliminal messaging detection, The reversed audio will have the same duration as the original, All audio characteristics (pitch, timbre) are preserved but played backwards, Works with both mono and stereo audio files
|
audio_file
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_apply_speed_adjustment
|
Apply speed adjustment to an audio file, changing playback speed and pitch. This function loads an audio file and adjusts its playback speed by the specified factor. Speed changes affect both duration and pitch - faster speeds increase pitch and reduce duration, while slower speeds decrease pitch and increase duration. Returns: A tuple containing:, First element: Either a tuple of (sample_rate: int, speed_adjusted_audio_data: array), for the speed-adjusted audio result, or None if an error occurred, Second element: A status message string showing speed factor and duration change, or error information, , result, status = apply_speed_adjustment("url/to/audio.mp3", 1.5), , sample_rate, audio_data = result, {status}"), , {status}"), , Speed factor affects both playback speed and pitch (chipmunk/slow-motion effect), Values > 1.0 increase speed and pitch, reduce duration, Values < 1.0 decrease speed and pitch, increase duration, Common values: 0.5 (half speed), 1.25 (25% faster), 2.0 (double speed), Extreme values (< 0.25 or > 4.0) may result in poor audio quality, For pitch-preserving speed changes, use time-stretching instead, Preserves original sample rate but changes audio duration
|
audio_file, speed_factor
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_apply_silence_trimming
|
Trim silence from the beginning and end of an audio file. This function loads an audio file and automatically removes silent or very quiet sections from the beginning and end based on a specified volume threshold. This is useful for cleaning up recordings and removing unwanted quiet sections. Returns: A tuple containing:, First element: Either a tuple of (sample_rate: int, trimmed_audio_data: array), for the silence-trimmed audio result, or None if an error occurred, Second element: A status message string showing original and new duration, or error information, , result, status = apply_silence_trimming("url/to/audio.mp3", -40.0), , sample_rate, audio_data = result, {status}"), , {status}"), , Threshold is specified in decibels (dB) - more negative values = quieter threshold, Common thresholds: -30dB (conservative), -40dB (moderate), -60dB (aggressive), Only trims from beginning and end, preserves silence within the audio, Useful for removing recording artifacts, room tone, or equipment noise, May significantly reduce file duration depending on original content, Preserves original sample rate and audio quality, Be careful with very low thresholds as they may trim wanted quiet content
|
audio_file, threshold_db
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_update_transcription_info
|
This should not be used by agents, only for UI updates
|
audio_file
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-audioeditor.hf.space/gradio_api/mcp/sse
|
AudioEditor_transcribe_audio_sync
|
Synchronously transcribe an audio file using AI-powered speech recognition. This function provides a synchronous wrapper around the async transcription process, converting audio files to text using advanced speech recognition. It handles the async/await complexity internally and returns detailed transcription results including the full text, timestamped segments, language detection, and processing statistics. Returns: A tuple containing four string elements:, status (str): Status message indicating success with language and processing time,, or error information if transcription failed, full_text (str): Complete transcription as plain text, or empty string on error, segments_formatted (str): Formatted text showing timestamped segments with, start/end times and confidence scores, or empty string on error, json_formatted (str): Pretty-formatted JSON string containing complete transcription, data including word-level timestamps and metadata, or empty string on error., , original audio filename, detected language code (e.g., "en", "es", "fr"), complete transcription text, array of text segments with timing and word breakdowns, time taken for transcription, start/end times, text, and words array with individual, word timestamps and confidence scores (0.0-1.0 range), , status, text, segments, json_data = transcribe_audio_sync("url/to/audio.mp3"), , {status}"), {text}"), {segments}"), , {status}"), , Automatically detects language in the audio file, Provides word-level and segment-level timestamps for precise audio editing, Returns confidence scores for quality assessment, Handles various audio formats and sample rates automatically, Processing time depends on audio length and complexity, All timestamps are provided in seconds with decimal precision, Function blocks until transcription is complete (synchronous), For async usage, use process_transcription() directly instead
|
audio_file
|
AudioEditor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/AudioEditor
| 4
|
2025-06-08T16:09:09.000Z
|
gradio, gradio-mcp-server, audio-processing, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-healthcare-mcp-public.hf.space/gradio_api/mcp/sse
|
healthcare_mcp_public_fda_drug_lookup_gr
|
Gradio wrapper for :pyfunc:`fda_drug_lookup`. Parameters ---------- drug_name : str Drug identifier to pass through to :pyfunc:`FDATool.lookup_drug`. search_type : str See :pydata:`search_type` in :pyfunc:`fda_drug_lookup`. Returns ------- str JSON‑formatted response suitable for a ``gr.Textbox``.
|
drug_name, search_type
|
healthcare-mcp-public
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/healthcare-mcp-public
| 4
|
2025-06-08T19:13:35.000Z
|
gradio, mcp-server-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-healthcare-mcp-public.hf.space/gradio_api/mcp/sse
|
healthcare_mcp_public_pubmed_search_gr
|
Gradio wrapper for PubMed literature search. Parameters ---------- query : str PubMed query string. max_results : int Maximum number of articles requested from the backend tool. date_range : str If non‑empty, restricts search to the last *N* years. Returns ------- str Pretty‑printed JSON with article details.
|
query, max_results, date_range
|
healthcare-mcp-public
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/healthcare-mcp-public
| 4
|
2025-06-08T19:13:35.000Z
|
gradio, mcp-server-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-healthcare-mcp-public.hf.space/gradio_api/mcp/sse
|
healthcare_mcp_public_health_topics_gr
|
Gradio wrapper for HealthFinder topic retrieval. Parameters ---------- topic : str Health topic slug or phrase. language : str Output language (``"en"`` / ``"es"``). Returns ------- str JSON‑formatted HealthFinder result.
|
topic, language
|
healthcare-mcp-public
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/healthcare-mcp-public
| 4
|
2025-06-08T19:13:35.000Z
|
gradio, mcp-server-demo-track, mcp-server, region:us
|
https://agents-mcp-hackathon-pokemon-mcp.hf.space/gradio_api/mcp/sse
|
pokemon_mcp_find_pokemon_from_name_and_hp
|
name, hp
|
pokemon-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/pokemon-mcp
| 4
|
2025-06-09T11:17:15.000Z
|
gradio, mcp-server-track, pokemon, ocr, api, agent, card-recognition, battle-simulation, mcp-server, region:us
|
|
https://agents-mcp-hackathon-pokemon-mcp.hf.space/gradio_api/mcp/sse
|
pokemon_mcp_find_pokemon_from_name_and_level
|
name, level
|
pokemon-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/pokemon-mcp
| 4
|
2025-06-09T11:17:15.000Z
|
gradio, mcp-server-track, pokemon, ocr, api, agent, card-recognition, battle-simulation, mcp-server, region:us
|
|
https://agents-mcp-hackathon-pokemon-mcp.hf.space/gradio_api/mcp/sse
|
pokemon_mcp_find_pokemon_from_card_image
|
image, source
|
pokemon-mcp
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/pokemon-mcp
| 4
|
2025-06-09T11:17:15.000Z
|
gradio, mcp-server-track, pokemon, ocr, api, agent, card-recognition, battle-simulation, mcp-server, region:us
|
|
https://agents-mcp-hackathon-duckduckgo-mcp-server.hf.space/gradio_api/mcp/sse
|
DuckDuckGo_MCP_Server_search_duckduckgo
|
Extract the information based on the query. Returns: A list of dictionaries containing title, href and body
|
query
|
DuckDuckGo-MCP-Server
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/DuckDuckGo-MCP-Server
| 4
|
2025-06-09T16:04:28.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-3d-game-environment-builder.hf.space/gradio_api/mcp/sse
|
_3D_Game_Environment_Builder_generate_3d_assets
|
Generate 3D assets based on a player's bio for video game scene composition. Returns: JSON string containing prompts and GLB file data
|
player_bio, num_assets
|
3D-Game-Environment-Builder
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/3D-Game-Environment-Builder
| 4
|
2025-06-10T14:21:28.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-dsatp-ai-cybersecurity-agent.hf.space/gradio_api/mcp/sse
|
DSATP_AI_cybersecurity_agent_chatbot_response
|
user_input, file, history
|
DSATP_AI_cybersecurity_agent
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/DSATP_AI_cybersecurity_agent
| 3
|
2025-06-03T11:10:34.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-dailypal.hf.space/gradio_api/mcp/sse
|
DailyPal_get_book_recommendations
|
Fetches a book recommendation from Google Books API. Returns: Top book recommendation in formatted text.
|
prompt
|
DailyPal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/DailyPal
| 3
|
2025-06-05T10:49:37.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-dailypal.hf.space/gradio_api/mcp/sse
|
DailyPal_get_random_recipe
|
Fetches a random recipe using the Spoonacular API and returns it in a formatted string. Returns: A formatted string with title, preparation time, ingredients, and cooking steps.
|
tags, exclude_ingredients
|
DailyPal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/DailyPal
| 3
|
2025-06-05T10:49:37.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-dailypal.hf.space/gradio_api/mcp/sse
|
DailyPal_get_now_playing_movies
|
DailyPal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/DailyPal
| 3
|
2025-06-05T10:49:37.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-dailypal.hf.space/gradio_api/mcp/sse
|
DailyPal_get_music_recommendations
|
Fetches multiple music recommendations from Spotify API. Returns: Markdown-formatted string of top song recommendations.
|
prompt, num_songs, min_popularity, year
|
DailyPal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/DailyPal
| 3
|
2025-06-05T10:49:37.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-dailypal.hf.space/gradio_api/mcp/sse
|
DailyPal_get_current_weather
|
Fetches current weather for a given city name or coordinates using OpenWeatherMap API. Returns: A formatted weather report string.
|
location
|
DailyPal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/DailyPal
| 3
|
2025-06-05T10:49:37.000Z
|
gradio, mcp-server, region:us
|
https://agents-mcp-hackathon-mcp-chai1-modal.hf.space/gradio_api/mcp/sse
|
MCP_Chai1_Modal_create_json_config
|
Create a JSON configuration file from the Gradio interface inputs. Returns: Name of the created JSON file
|
num_diffn_timesteps, num_trunk_recycles, seed, options, name
|
MCP_Chai1_Modal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Chai1_Modal
| 3
|
2025-06-05T16:17:02.000Z
|
gradio, mcp-server-track, Modal, mcp-server, region:us
|
https://agents-mcp-hackathon-mcp-chai1-modal.hf.space/gradio_api/mcp/sse
|
MCP_Chai1_Modal_create_fasta_file
|
Create a FASTA file from a biomolecule sequence string with a unique name. Returns: Name of the created FASTA file
|
file_content, name
|
MCP_Chai1_Modal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Chai1_Modal
| 3
|
2025-06-05T16:17:02.000Z
|
gradio, mcp-server-track, Modal, mcp-server, region:us
|
https://agents-mcp-hackathon-mcp-chai1-modal.hf.space/gradio_api/mcp/sse
|
MCP_Chai1_Modal_update_file_explorer
|
Don't need to be used by LLMs, but useful for the interface to update the file explorer
|
MCP_Chai1_Modal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Chai1_Modal
| 3
|
2025-06-05T16:17:02.000Z
|
gradio, mcp-server-track, Modal, mcp-server, region:us
|
|
https://agents-mcp-hackathon-mcp-chai1-modal.hf.space/gradio_api/mcp/sse
|
MCP_Chai1_Modal_update_file_explorer_2
|
Don't need to be used by LLMs, but useful for the interface to update the file explorer
|
MCP_Chai1_Modal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Chai1_Modal
| 3
|
2025-06-05T16:17:02.000Z
|
gradio, mcp-server-track, Modal, mcp-server, region:us
|
|
https://agents-mcp-hackathon-mcp-chai1-modal.hf.space/gradio_api/mcp/sse
|
MCP_Chai1_Modal_compute_Chai1
|
Compute a Chai1 simulation. Returns: DataFrame containing model scores and CIF file paths
|
fasta_file_name, inference_config_file_name
|
MCP_Chai1_Modal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Chai1_Modal
| 3
|
2025-06-05T16:17:02.000Z
|
gradio, mcp-server-track, Modal, mcp-server, region:us
|
https://agents-mcp-hackathon-mcp-chai1-modal.hf.space/gradio_api/mcp/sse
|
MCP_Chai1_Modal_plot_protein
|
Plot the 3D structure of a biomolecule using the DataFrame from compute_Chai1. Returns: Path to the generated PDB file of the best model.
|
result_df
|
MCP_Chai1_Modal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Chai1_Modal
| 3
|
2025-06-05T16:17:02.000Z
|
gradio, mcp-server-track, Modal, mcp-server, region:us
|
https://agents-mcp-hackathon-mcp-chai1-modal.hf.space/gradio_api/mcp/sse
|
MCP_Chai1_Modal_show_cif_file
|
Plot a 3D structure from a CIF file with the Molecule3D library. Returns: PDB file name if successful, None if no file was provided, or if conversion failed.
|
cif_file
|
MCP_Chai1_Modal
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Chai1_Modal
| 3
|
2025-06-05T16:17:02.000Z
|
gradio, mcp-server-track, Modal, mcp-server, region:us
|
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_dyn_upd_model_dd
|
sel_prov_dyn
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_handle_gradio_chat_submit
|
user_msg_txt, max_research_steps, gr_hist_list, sel_prov_name, sel_model_disp_name, ui_api_key, cust_sys_prompt
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_handle_gradio_chat_submit_
|
user_msg_txt, max_research_steps, gr_hist_list, sel_prov_name, sel_model_disp_name, ui_api_key, cust_sys_prompt
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_save_edited_rules_action_fn
|
edited_rules_text
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_refresh_rules_display_fn
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_lambda
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_refresh_rules_display_fn_
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_lambda_
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_refresh_memories_display_fn
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_download_rules_action_fn
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_download_memories_action_fn
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_create_kb_image_fn
|
password, content_to_include
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_load_from_sources_fn
|
image_filepath, rules_file_obj, mems_file_obj, password
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
|
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_refresh_rules_display_fn__
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_ui_refresh_memories_display_fn_
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_save_faiss_action_with_feedback_sidebar_fn
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-ilearn.hf.space/gradio_api/mcp/sse
|
iLearn_app_load_fn
|
iLearn
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/iLearn
| 3
|
2025-06-07T06:48:08.000Z
|
gradio, mcp-server, region:us
|
||
https://agents-mcp-hackathon-text-extractor.hf.space/gradio_api/mcp/sse
|
Text_Extractor_text_extract
|
Extract the text from any website or youtube video. Returns: A string containing text extracted from website or youtube
|
generic_url
|
Text-Extractor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Text-Extractor
| 3
|
2025-06-07T13:51:52.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-text-extractor.hf.space/gradio_api/mcp/sse
|
Text_Extractor_terminal
|
Execute a terminal command and return the output. Returns: The command output (stdout and stderr combined)
|
command
|
Text-Extractor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Text-Extractor
| 3
|
2025-06-07T13:51:52.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-text-extractor.hf.space/gradio_api/mcp/sse
|
Text_Extractor_generate_file
|
Generates a downloadable text file with the specified content. Returns: The file path for downloading.
|
content
|
Text-Extractor
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/Text-Extractor
| 3
|
2025-06-07T13:51:52.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-logosai.hf.space/gradio_api/mcp/sse
|
LogosAI_update_api_keys
|
Updates the global MISTRAL_API_KEY and GEMINI_API_KEY variables. Returns: A string confirming that the API keys have been saved.
|
mistral_key, gemini_key
|
LogosAI
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/LogosAI
| 3
|
2025-06-09T03:41:55.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-logosai.hf.space/gradio_api/mcp/sse
|
LogosAI_ocr_workflow_wrapper
|
Manages the OCR workflow, processing an uploaded file to extract text.
|
file, mistral_key
|
LogosAI
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/LogosAI
| 3
|
2025-06-09T03:41:55.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-logosai.hf.space/gradio_api/mcp/sse
|
LogosAI_ai_correct
|
Corrects the provided text using an AI model.
|
current_text, mistral_key
|
LogosAI
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/LogosAI
| 3
|
2025-06-09T03:41:55.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-logosai.hf.space/gradio_api/mcp/sse
|
LogosAI_interpretation_workflow
|
Generates an interpretation of the text based on genre and language settings.
|
text, genre, learn_language, target_language, gemini_key
|
LogosAI
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/LogosAI
| 3
|
2025-06-09T03:41:55.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
https://agents-mcp-hackathon-logosai.hf.space/gradio_api/mcp/sse
|
LogosAI_translation_workflow
|
Translates the provided text to the target language.
|
text, target_language, gemini_key
|
LogosAI
|
https://huggingface.co/spaces/Agents-MCP-Hackathon/LogosAI
| 3
|
2025-06-09T03:41:55.000Z
|
gradio, mcp-server-track, mcp-server, region:us
|
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