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Glean MCP Server

@rahul-roy-glean

基本信息

分类

其他

传输方式

stdio

作者

rahul-roy-glean

关于 Glean MCP Server

MCP Server for Glean Chat

#glean#mcp#server#chat-api

Glean 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": {
    "glean": {
      "command": "uv",
      "args": [
        "--directory",
        "<PATH_TO_CHECKOUT>",
        "run",
        "glean_server.py"
      ]
    }
  }
}

Glean 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 Glean MCP Server?

A Model Context Protocol (MCP) server that integrates with Glean's Chat API. It allows AI‑assisted tools to query Glean data using a standard MCP interface.

How to use Glean MCP Server?

Clone the repository, create a .env file with GLEAN_API_KEY and GLEAN_BASE_URL, then run uv --directory <PATH_TO_CHECKOUT> run glean_server.py. For integration with Cursor, add the command configuration to ~/.cursor/mcp.json.

Key features of Glean MCP Server

  • Integrates with Glean’s Chat API via MCP.
  • Uses the UV package manager for dependency management.
  • Supports standalone and MCP inspector debug modes.
  • Can be configured with environment variables for credentials.
  • Compatible with Cursor for AI‑powered coding assistance.

Use cases of Glean MCP Server

  • Query company‑specific information (e.g., holiday schedules) from an AI assistant.
  • Integrate Glean’s knowledge base into AI tools like Cursor.

常见问题

1

What are the prerequisites for Glean MCP Server?

Python 3.10+, the UV package manager, and a Glean API key with permissions to `/rest/api/v1/*`.

2

How do I configure Glean MCP Server?

Create a `.env` file in the project root with `GLEAN_API_KEY` and `GLEAN_BASE_URL` (e.g., `https://your-domain-be.glean.com/rest/api/v1/`).

3

Can I use Glean MCP Server with Cursor?

Yes. Add a `glean` entry to `~/.cursor/mcp.json` using the `uv` command as described in the README.

4

What transport does Glean MCP Server use?

The README does not specify a transport; it is used via stdin/stdout (MCP default) when run as a subprocess, or via the MCP inspector for debugging.

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