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hf-mcp-server packages MCP Server

@evalstate

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

evalstate

关于 hf-mcp-server packages MCP Server

Hugging Face MCP Server

hf-mcp-server packages MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "hf-mcp-server": {
      "command": "npx",
      "args": [
        "@llmindset/hf-mcp-server",
        "#",
        "Start",
        "in",
        "STDIO",
        "mode"
      ]
    }
  }
}

hf-mcp-server packages MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is hf-mcp-server?

hf-mcp-server is the official Hugging Face MCP server that connects LLMs to the Hugging Face Hub and thousands of Gradio AI applications. It provides MCP implementations of Hub API and search endpoints, enabling AI assistants to interact with Hugging Face resources.

How to use hf-mcp-server?

Install via one-click links for Claude Desktop/Web, VSCode, or Cursor, or use CLI commands for Claude Code (claude mcp add hf-mcp-server -t http https://huggingface.co/mcp?login) and Gemini CLI (gemini mcp add -t http huggingface https://huggingface.co/mcp?login). Run locally with npx @llmindset/hf-mcp-server (STDIO), npx @llmindset/hf-mcp-server-http (StreamableHTTP), or via Docker. Configure tokens via environment variables like DEFAULT_HF_TOKEN or HF_TOKEN.

Key features of hf-mcp-server

  • Supports STDIO, StreamableHTTP, and StreamableHTTP JSON transports
  • Web management interface on port 3000 for toggling tools
  • Proxy tools loaded from CSV-defined MCP endpoints
  • Skills directory support for shared Hugging Face skill catalogs
  • Stateful connection management with configurable timeouts
  • Environment variable configuration for timeouts, transport, and tool options

Use cases of hf-mcp-server

  • Connect an LLM to search and retrieve models, datasets, and Spaces from the Hugging Face Hub
  • Run Gradio AI applications directly through MCP tools
  • Build custom AI assistants that can interact with Hugging Face APIs
  • Deploy a local MCP server with proxy tools for internal workflows

常见问题

1

What transports does hf-mcp-server support?

STDIO (stdin/stdout), StreamableHTTP (stateful HTTP with SSE), and StreamableHTTP JSON (stateless JSON-RPC mode).

2

How do I run hf-mcp-server locally?

Use `npx @llmindset/hf-mcp-server` for STDIO, `npx @llmindset/hf-mcp-server-http` for StreamableHTTP, or pull and run the Docker image from `ghcr.io/evalstate/hf-mcp-server:latest`.

3

How do I authenticate with the server?

Pass a Hugging Face token via the `Authorization: Bearer` header when configuring an MCP client, or set the `DEFAULT_HF_TOKEN` environment variable for development/STDIO use.

4

What environment variables control the server?

Key variables: `TRANSPORT` (transport mode), `DEFAULT_HF_TOKEN`, `HF_TOKEN` (STDIO fallback), `HF_API_TIMEOUT`, `ALLOW_INTERNAL_ADDRESS_HOSTS`, `MCP_STRICT_COMPLIANCE`, `AUTHENTICATE_TOOL`, `SEARCH_ENABLES_FETCH`, `PROXY_TOOLS_CSV`, `GRADIO_SKIP_INITIALIZE`, and `HF_SKILLS_DIR`.

5

Where can I manage tools after installation?

Navigate to https://huggingface.co/settings/mcp to configure your tools and Spaces. The local web dashboard on port 3000 also allows toggling tools.

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