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AsyncFuncAI

GitHub Chat MCP

by AsyncFuncAI
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Python
Remote

GitHub 聊天 MCP

一个模型上下文协议 (MCP)，用于使用 GitHub Chat API 分析和查询 GitHub 代码库。官方网站： https://github-chat.com

安装

# Install with pip
pip install github-chat-mcp

# Or install with the newer uv package manager
uv install github-chat-mcp

  1. 开始与 Claude 一起使用它！

提示示例：

  • “使用 github-chat-mcp 分析 React 仓库”

  • “使用 github-chat-mcp 索引 TypeScript 存储库并询问其架构”

GitHub Chat MCP 服务器

铁匠徽章

Related MCP server: MCP GitHub Reader

设置说明

首先，请确保你拥有 GitHub Chat API 密钥。这是使用该服务所必需的。

首先安装 uv。

MacOS/Linux：

curl -LsSf https://astral.sh/uv/install.sh | sh

视窗：

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

使用光标设置（推荐）

在 mcp.json 中：

{
  "mcpServers": {
    "github-chat": {
      "command": "uvx",
      "args": [
        "github-chat-mcp"
      ]
    }
  }
}

由于它是免费增值版本，因此不需要任何环境。

使用 Claude Desktop 进行设置

# claude_desktop_config.json
# Can find location through:
# Hamburger Menu -> File -> Settings -> Developer -> Edit Config
# Must perform: brew install uv
{
  "mcpServers": {
    "github-chat": {
      "command": "uvx",
      "args": ["github-chat-mcp"],
      "env": {
      }
    }
  }
}

通过 Smithery 安装

您可以通过 Smithery 自动安装 GitHub Chat for Claude Desktop：

npx -y @smithery/cli install github-chat-mcp --client claude

使用 GitHub 与 Claude 聊天

  1. 首先索引 GitHub 存储库：“在https://github.com/username/repo处索引 GitHub 存储库”

  2. 然后询问有关存储库的问题：“这个存储库使用的核心技术堆栈是什么？”

调试

跑步：

npx @modelcontextprotocol/inspector uvx github-chat-mcp

本地/开发设置说明

克隆仓库

git clone https://github.com/yourusername/github-chat-mcp.git

安装依赖项

首先安装 uv。

MacOS/Linux：

curl -LsSf https://astral.sh/uv/install.sh | sh

视窗：

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

然后安装 MCP 服务器依赖项：

cd github-chat-mcp

# Create virtual environment and activate it
uv venv

source .venv/bin/activate # MacOS/Linux
# OR
.venv/Scripts/activate # Windows

# Install dependencies
uv sync

使用 Claude Desktop 进行设置

使用 MCP CLI SDK

# `pip install mcp[cli]` if you haven't
mcp install /ABSOLUTE/PATH/TO/PARENT/FOLDER/github-chat-mcp/src/github_chat_mcp/server.py -v "GITHUB_API_KEY=API_KEY_HERE"

手动

# claude_desktop_config.json
# Can find location through:
# Hamburger Menu -> File -> Settings -> Developer -> Edit Config
{
  "mcpServers": {
    "github-chat": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/github-chat-mcp",
        "run",
        "github-chat-mcp"
      ],
      "env": {
      }
    }
  }
}

使用 GitHub 与 Claude 聊天

  1. 首先索引 GitHub 存储库：“在https://github.com/username/repo处索引 GitHub 存储库”

  2. 然后询问有关存储库的问题：“这个存储库使用的核心技术堆栈是什么？”

调试

跑步：

# If mcp cli installed (`pip install mcp[cli]`)
mcp dev /ABSOLUTE/PATH/TO/PARENT/FOLDER/github-chat-mcp/src/github_chat_mcp/server.py

# If not
npx @modelcontextprotocol/inspector \
      uv \
      --directory /ABSOLUTE/PATH/TO/PARENT/FOLDER/github-chat-mcp \
      run \
      github-chat-mcp

然后通过http://localhost:5173访问 MCP Inspector。您可能需要在检查器的环境变量中添加您的 GitHub API 密钥，路径为GITHUB_API_KEY 。

笔记

  • 可以通过FASTMCP_LOG_LEVEL环境变量调整日志记录级别（例如FASTMCP_LOG_LEVEL="ERROR" ）

  • 该 MCP 服务器提供了两个主要工具：

    1. 存储库索引 - 索引和分析 GitHub 存储库

    2. 存储库查询 - 询问有关索引存储库的问题

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