Hugging Face

AI model hub for machine learning. Discover models, explore datasets, and access model documentation and capabilities.

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://huggingface.run.tools

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{
  "mcpServers": {
    "Hugging Face": {
      "url": "https://huggingface.run.tools"
    }
  }
}

能力清单

工具	说明
hf_whoami	Hugging Face tools are being used anonymously and may be rate limited. Call this tool for instructions on joining and authenticating.
space_search	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.
hub_repo_search	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.
paper_search	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.
hub_repo_details	Get details for one or more Hugging Face repos (model, dataset, or space). Auto-detects type unless specified.
hf_doc_search	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 11 March 2026. Combine with the Product filter to focus results.
hf_doc_fetch	Fetch a document from the Hugging Face or Gradio documentation library. For large documents, use offset to get subsequent chunks.
gr1_z_image_turbo_generate	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)

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