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AI Code Review Server

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A code review tool server based on Model Context Protocol (MCP) providing multi-dimensional code review and scoring.

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About

A code review tool server based on Model Context Protocol (MCP) providing multi-dimensional code review and scoring.

README

一个基于 Model Context Protocol (MCP) 的代码审查工具服务器,提供多维度的代码审查和打分功能。

功能特性

  • 🔍 代码整体审查 - 审查完整代码并生成提示词
  • 📝 Git Diff 审查 - 审查代码变更差异
  • 📄 单文件审查 - 针对特定文件的审查
  • 🎯 智能评分解析 - 从审查文本中提取结构化评分
  • 🎨 多种审查风格 - 支持专业、讽刺、温和、幽默四种风格

工具列表

review_code

构建用于代码整体审查与打分的 LLM 提示词

参数:

  • code (string, 必需): 待审查的代码文本
  • style (enum, 可选): 审查风格 - professional | sarcastic | gentle | humorous
  • commitMessage (string, 可选): 提交信息

review_diff

构建用于 Git diff 变更审查与打分的 LLM 提示词

参数:

  • diff (string, 必需): git diff 内容
  • style (enum, 可选): 审查风格
  • commitMessage (string, 可选): 提交信息

review_file

构建用于单文件审查与打分的 LLM 提示词

参数:

  • filePath (string, 必需): 文件路径
  • content (string, 必需): 文件内容
  • style (enum, 可选): 审查风格
  • commitMessage (string, 可选): 提交信息

parse_review_score

从审查文本中解析评分(提取 '总分:XX分' 格式)

参数:

  • reviewText (string, 必需): 审查文本,应包含 '总分:XX分' 格式的评分

安装

方式一:全局安装

npm install -g lebo-ai-codereview-mcp

方式二:本地安装

npm install lebo-ai-codereview-mcp

方式三:从源码安装

git clone <repository-url>
cd ai-codereview-mcp
npm install
npm run build

使用方法

在 Claude Desktop 中使用

  1. 找到 Claude Desktop 的配置文件位置:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Linux: ~/.config/Claude/claude_desktop_config.json
  2. 编辑配置文件,添加 MCP 服务器配置:

{
  "mcpServers": {
    "ai-codereview": {
      "command": "npx",
      "args": [
        "-y",
        "lebo-ai-codereview-mcp"
      ]
    }
  }
}

或者如果已全局安装:

{
  "mcpServers": {
    "ai-codereview": {
      "command": "lebo-ai-codereview-mcp"
    }
  }
}

如果从本地路径安装:

{
  "mcpServers": {
    "ai-codereview": {
      "command": "node",
      "args": [
        "/path/to/ai-codereview-mcp/dist/index.js"
      ]
    }
  }
}
  1. 重启 Claude Desktop

使用 MCP Inspector 调试

  1. 启动开发服务器:
npm run dev
  1. 在另一个终端启动 Inspector:
npx @modelcontextprotocol/inspector
  1. 在浏览器中:
    • 选择传输方式:Streamable HTTP
    • URL:http://localhost:3000/mcp
    • 连接

详细说明请查看 DEBUG.md

环境变量

可以通过 .env 文件配置环境变量:

PORT=3000

或者在启动时设置:

PORT=8080 npm run dev

开发

# 安装依赖
npm install

# 构建项目
npm run build

# 开发模式(支持 Inspector)
npm run dev

# 监听模式构建
npm run watch

项目结构

ai-codereview-mcp/
├── src/
│   ├── index.ts           # 主入口(Stdio 模式,用于生产)
│   ├── dev-server.ts      # 开发服务器(HTTP 模式,用于调试)
│   ├── prompts.ts         # 提示词生成逻辑
│   ├── parser.ts          # 评分解析逻辑
│   ├── types.ts           # TypeScript 类型定义
│   └── tools/             # MCP 工具实现
│       ├── review-code.ts
│       ├── review-diff.ts
│       ├── review-file.ts
│       └── parse-score.ts
├── dist/                  # 编译输出
├── scripts/
│   └── post-build.js     # 构建后处理脚本
├── package.json
└── README.md

许可证

MIT

相关链接

from github.com/hakityc/ai-codereview-mcp

Install AI Code Review Server in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install ai-code-review-mcp-server

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add ai-code-review-mcp-server -- npx -y lebo-ai-codereview-mcp

FAQ

Is AI Code Review Server MCP free?

Yes, AI Code Review Server MCP is free — one-click install via Unyly at no cost.

Does AI Code Review Server need an API key?

No, AI Code Review Server runs without API keys or environment variables.

Is AI Code Review Server hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install AI Code Review Server in Claude Desktop, Claude Code or Cursor?

Open AI Code Review Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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