Server Details
Connect to Hugging Face Hub and thousands of Gradio AI Applications
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
See and control every tool call
Available Tools
8 toolsgr1_z_image_turbo_generateInspect
Generate an image using the Z-Image model based on the provided prompt and settings. This function is triggered when the user clicks the "Generate" button. It processes the input prompt (optionally enhancing it), configures generation parameters, and produces an image using the Z-Image diffusion transformer pipeline. Returns: tuple: (gallery_images, seed_str, seed_int), - seed_str: String representation of the seed used for generation, - seed_int: Integer representation of the seed used for generation (from mcp-tools/Z-Image-Turbo)
| Name | Required | Description | Default |
|---|---|---|---|
| seed | No | Seed for reproducible generation | |
| shift | No | Time shift parameter for the flow matching scheduler | |
| steps | No | Number of inference steps for the diffusion process | |
| prompt | No | Text prompt describing the desired image content | |
| resolution | No | Output resolution in format "WIDTHxHEIGHT ( RATIO )" (e.g., "1024x1024 ( 1:1 )") | 1024x1024 ( 1:1 ) |
| random_seed | No | Whether to generate a new random seed, if True will ignore the seed input |
hf_doc_fetchInspect
Fetch a document from the Hugging Face or Gradio documentation library. For large documents, use offset to get subsequent chunks.
| Name | Required | Description | Default |
|---|---|---|---|
| offset | No | Token offset for large documents (use the offset from truncation message) | |
| doc_url | Yes | Documentation URL (Hugging Face or Gradio) |
hf_doc_searchInspect
Search and Discover Hugging Face Product and Library documentation. Send an empty query to discover structure and navigation instructions. Knowledge up-to-date as at 24 February 2026. Combine with the Product filter to focus results.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Start with an empty query for structure, endpoint discovery and navigation tips. Use semantic queries for targetted searches. | |
| product | No | Filter by Product. Supply when known for focused results |
hf_whoamiInspect
Hugging Face tools are being used anonymously and may be rate limited. Call this tool for instructions on joining and authenticating.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
hub_repo_detailsInspect
Get details for one or more Hugging Face repos (model, dataset, or space). Auto-detects type unless specified.
| Name | Required | Description | Default |
|---|---|---|---|
| repo_ids | Yes | Repo IDs for (models|dataset/space) - usually in author/name format (e.g. openai/gpt-oss-120b) | |
| repo_type | No | Specify lookup type; otherwise auto-detects |
hub_repo_searchInspect
Search Hugging Face repositories with a shared query interface. You can target models, datasets, spaces, or aggregate across multiple repo types in one call. Use space_search for semantic-first discovery of Spaces. Include links to repositories in your response.
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | Sort order (descending): trendingScore, downloads, likes, createdAt, lastModified | |
| limit | No | Maximum number of results to return per selected repo type | |
| query | No | Search term. Leave blank and specify sort + limit to browse trending or recent repositories. | |
| author | No | Organization or user namespace to filter by (e.g. 'google', 'meta-llama', 'huggingface'). | |
| filters | No | Optional hub filter tags. Applied to each selected repo type (e.g. ["text-generation"], ["language:en"], ["mcp-server"]). | |
| repo_types | No | Repository types to search. Defaults to ["model", "dataset"]. space uses keyword search via /api/spaces. |
paper_searchInspect
Find Machine Learning research papers on the Hugging Face hub. Include 'Link to paper' When presenting the results. Consider whether tabulating results matches user intent.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Semantic Search query | |
| concise_only | No | Return a 2 sentence summary of the abstract. Use for broad search terms which may return a lot of results. Check with User if unsure. | |
| results_limit | No | Number of results to return |
space_searchInspect
Find Hugging Face Spaces using semantic search. IMPORTANT Only MCP Servers can be used with the dynamic_space toolInclude links to the Space when presenting the results.
| Name | Required | Description | Default |
|---|---|---|---|
| mcp | No | Only return MCP Server enabled Spaces | |
| limit | No | Number of results to return | |
| query | Yes | Semantic Search Query |
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