Medullar MCP Server

@medullar

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

medullar

关于 Medullar MCP Server

Medullar MCP Server

Medullar 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": {
    "medullar-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

Medullar 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。

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。

概览

What is Medullar MCP Server?

Medullar MCP Server is an MCP protocol server that retrieves a user’s Medullar Space data. It is built for developers and users who need to access their curated Medullar spaces through an MCP‑compatible client (e.g., Claude Desktop).

How to use Medullar MCP Server?

Install Python 3.10+, the uv package manager, and dependencies. Create a .env file with your MEDULLAR_JWT token. Run in development mode with mcp dev server.py or install in Claude Desktop with mcp install server.py. For custom deployments, use python server.py or mcp run server.py.

Key features of Medullar MCP Server

Retrieves the user’s Medullar spaces via MCP protocol.
Requires a Medullar JWT for authentication.
Returns space name, UUID, and context.
Supports .env file, shell variables, or mcp install -v.
Built with Python 3.10+ and the uv package manager.

Use cases of Medullar MCP Server

Query your curated Medullar spaces from an MCP‑capable UI.
Integrate space data into AI assistants like Claude Desktop.
Automate retrieval of space metadata for custom workflows.

常见问题

What prerequisites are needed?

Python 3.10 or higher, the `uv` package manager, and a valid Medullar JWT token.

How do I provide my JWT token?

Store it in a `.env` file as `MEDULLAR_JWT=your_token`, or set it as an environment variable in your shell, or pass it via the `-v` flag with `mcp install`.

What data can I retrieve with the server?

The only endpoint is `get_medullar_spaces`, which returns a list of your spaces with their `name`, `uuid`, and `context`.

How do I run the server in production?

Install it for Claude Desktop with `mcp install server.py`, or run directly with `python server.py` or `mcp run server.py`.

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