What permissions are available?
Read-only, write-only, and admin mode are set via environment variables (`HF_READ_ONLY`, `HF_WRITE_ONLY`, `HF_ADMIN_MODE`). Default mode provides full read/write access.
@ProCreations-Official
基本信息
Model Context Protocol (MCP) server for HuggingFace integration - lets Claude create, manage, and interact with HuggingFace spaces, models, datasets, and collections
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"HuggingMCP": {
"command": "uv",
"args": [
"venv"
]
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
HuggingMCP is a comprehensive Model Context Protocol (MCP) server that allows Claude and other MCP-compatible AI assistants to interact seamlessly with the Hugging Face ecosystem. It enables natural language management of models, datasets, files, pull requests, and collections.
Install the server in a Python 3.10+ environment with uv or pip, then configure your Hugging Face token and permission settings in the Claude Desktop configuration file. After restarting Claude, you can use natural language commands to perform operations like creating repositories, editing files, searching models, and managing pull requests.
Read-only, write-only, and admin mode are set via environment variables (`HF_READ_ONLY`, `HF_WRITE_ONLY`, `HF_ADMIN_MODE`). Default mode provides full read/write access.
Python 3.10 or higher is required.
Set the `HF_ADMIN_MODE` environment variable to `"true"` in the Claude Desktop configuration.
Look for the 🔨 hammer icon in Claude Desktop or use the `hf_test` tool to verify the connection.
On macOS: `~/Library/Logs/Claude/mcp.log`; on Windows: `%APPDATA%/Claude/Logs/mcp.log`. You can also enable verbose logging in `main.py`.
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