MCP Server

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基本信息

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开发工具

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关于 MCP Server

MCP Server for GitHub API Integration

#mcp-server #github-api #integration

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": {
    "mcp-server-github-api": {
      "command": "python",
      "args": [
        "-m",
        "mcp_server"
      ]
    }
  }
}

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 MCP Server?

MCP Server is a GitHub integration server designed for use with Cursor IDE. It provides programmatic access to GitHub repository operations such as file updates, pull request creation, and code search.

How to use MCP Server?

Install the package with pip install -e ., set environment variables GITHUB_TOKEN and GITHUB_REPO in a .env file, then run python -m mcp_server. In Cursor IDE, use the provided MCP client functions (e.g., update_file, create_pr, search_code) to interact with the server.

Key features of MCP Server

Update files in a GitHub repository
Create pull requests
Search code across the repository
Automatic code review
Compile error checking

Use cases of MCP Server

Automate file updates and pull request creation from within Cursor IDE
Search for code patterns or definitions across a GitHub repository
Integrate automatic code review and compile error checks into development workflows

常见问题

What dependencies are required?

Python and pip are required. The server uses environment variables `GITHUB_TOKEN` and `GITHUB_REPO` for authentication and repository targeting.

Where does the data live?

All data resides in the specified GitHub repository (defined by `GITHUB_REPO`). The server acts as an intermediary to perform operations on that repository.

How is authentication handled?

Authentication is handled via a GitHub personal access token provided in the `GITHUB_TOKEN` environment variable.

What transport does the server use?

The server runs as a local Python process and communicates via the MCP protocol; the README only describes usage from Cursor IDE, suggesting a local client-server model.

Are there any known limits?

The README does not mention any specific limits.

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