Server Details
Connect to Hugging Face Hub and thousands of Gradio AI Applications
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
9 toolsdataset_searchTry in Inspector
Find Datasets hosted on the Hugging Face hub. Returns comprehensive information about matching datasets including downloads, likes, tags, and direct links. Include links to the datasets in your response
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | Sort order: trendingScore, downloads, likes, createdAt, lastModified | |
| tags | No | Tags to filter datasets (e.g., ['language:en', 'size_categories:1M<n<10M', 'task_categories:text-classification']) | |
| limit | No | Maximum number of results to return | |
| query | No | Search term. Leave blank and specify "sort" and "limit" to get e.g. "Top 20 trending datasets", "Top 10 most recent datasets" etc" | |
| author | No | Organization or user who created the dataset (e.g., 'google', 'facebook', 'allenai') |
gr1_z_image_turbo_generateTry in Inspector
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_fetchTry in Inspector
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_searchTry in Inspector
Search and Discover Hugging Face Product and Library documentation. Send an empty query to discover structure and navigation instructions. You MUST consult this tool for the most up-to-date information when using Hugging Face libraries. 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_whoamiTry in Inspector
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_detailsTry in Inspector
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 |
model_searchTry in Inspector
Find Machine Learning models hosted on Hugging Face. Returns comprehensive information about matching models including downloads, likes, tags, and direct links. Include links to the models in your response
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | Sort order: trendingScore, downloads , likes, createdAt, lastModified | |
| task | No | Model task type (e.g., 'text-generation', 'image-classification', 'translation') | |
| limit | No | Maximum number of results to return | |
| query | No | Search term. Leave blank and specify "sort" and "limit" to get e.g. "Top 20 trending models", "Top 10 most recent models" etc" | |
| author | No | Organization or user who created the model (e.g., 'google', 'meta-llama', 'microsoft') | |
| library | No | Framework the model uses (e.g., 'transformers', 'diffusers', 'timm') |
paper_searchTry in Inspector
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_searchTry in Inspector
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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