GitHub Code Reviewer

GitHub Code Reviewer

Enables fetching Pull Request diffs from GitHub and posting inline review comments directly on PRs, either as pending drafts or published immediately.

Category
访问服务器

README

MCP GitHub Code Reviewer

An MCP (Model Context Protocol) server that gives Claude the ability to fetch Pull Request diffs from GitHub and post inline code review comments directly on the PR — either as a pending draft for you to approve, or published immediately.

How it works

You (Claude Code) ──► MCP Server (src/index.ts) ──► GitHub API
                           │
                     Two tools exposed:
                     • get_pull_request_diff
                     • post_pr_review_comment

When running as an MCP server, Claude can call these tools in response to natural language prompts. You describe which PR to review, and Claude fetches the diff, analyzes the code, and posts structured inline comments.

Tools available

get_pull_request_diff

Fetches the raw diff of a Pull Request from GitHub.

Parameter Type Description
owner string GitHub username or organization
repo string Repository name
pull_number number PR number

post_pr_review_comment

Posts an inline review comment on a specific line of a changed file.

Parameter Type Description
owner string GitHub username or organization
repo string Repository name
pull_number number PR number
path string File path (e.g. src/app.js)
line number Line number where the comment will appear
body string Comment text in Markdown
status string PENDING saves as a draft (you publish on GitHub); PUBLIC submits immediately

Prerequisites

  • Node.js 18+
  • A GitHub Personal Access Token with repo scope
  • Claude Code (to use as an MCP server)

Installation

npm install

Configuration

Create a .env file in the project root:

GITHUB_TOKEN=ghp_YourGitHubTokenHere

Running as an MCP server (Claude Code)

Add this server to your Claude Code MCP configuration (~/.claude/claude_desktop_config.json or via claude mcp add):

{
  "mcpServers": {
    "github-code-reviewer": {
      "command": "npx",
      "args": ["tsx", "/path/to/mcp-github-reviewer/src/index.ts"],
      "env": {
        "GITHUB_TOKEN": "ghp_YourGitHubTokenHere"
      }
    }
  }
}

Or start the server manually:

npm start

Example prompts

Use these prompts in Claude Code after the MCP server is connected:


Review with pending draft (recommended for first use):

Review the PR 360 in seu-usuario/seu-repositorio and use post_pr_review_comment with status: "PENDING" so I can double-check everything on GitHub before publishing.

Claude will fetch the diff, analyze the code, and save the comments as a pending draft review on GitHub. You then go to the PR on GitHub and click "Submit review" when you're happy with the comments.


Review and publish immediately:

For immediate launch: "Review the PR and use post_pr_review_comment with status: "PUBLIC" to submit the comments directly."

Claude will post every comment live on the PR as soon as it finishes the analysis.


Full review in Portuguese:

Por favor, liste as alterações e faça o code review do PR número 42 do repositório seu-usuario/seu-repositorio. Se encontrar problemas, use a ferramenta de comentário para postar direto no GitHub.

Claude will list the changed files, analyze the diff, and post inline comments directly to the PR.


Project structure

mcp-github-reviewer/
├── src/
│   └── index.ts      # MCP server — exposes tools to Claude
├── package.json
├── tsconfig.json
└── .env              # GITHUB_TOKEN goes here

Dependencies

Package Role
@modelcontextprotocol/sdk MCP server framework
@octokit/rest GitHub API client
dotenv Loads .env variables
tsx Runs TypeScript directly without a build step

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选