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MCP server · Developer Tools

Code Review MCP

基于 Model Context Protocol (MCP) 的智能代码审查服务器,使用Excel清单进行代码质量检查

Unclaimed MIT last commit a year ago devtools
54Fair

Scored 7 days ago · breakdown

About Code Review MCP

Code Review MCP is an MCP server published by OldJii in the Developer Tools category: 基于 Model Context Protocol (MCP) 的智能代码审查服务器,使用Excel清单进行代码质量检查.

The repository has 34 stars and 6 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/OldJii/code-review-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (1)

get_review_rulesGet review rules (builtin + custom project rules)

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

3 checks have not been run yet.

Releases

v1.2.2v1.2.2
v1.2.1v1.2.1
v1.2.0v1.2.0
v1.1.1v1.1.1
v1.1.0v1.1.0

README

Code Review MCP Server

English | 中文

PyPI version

MCP (Model Context Protocol) server for code review. Enables AI assistants to review GitHub/GitLab Pull Requests and Merge Requests.

✨ Features

  • 🔍 Multi-platform: Supports both GitHub and GitLab (including self-hosted)
  • 🚀 Multiple Transports: Supports stdio, SSE, and WebSocket protocols
  • 📦 Easy Install: Quick install via uvx or pip
  • 🐳 Containerized: Docker image available
  • ☁️ Cloud Deploy: One-click Smithery deployment
  • 🔒 Security First: Environment variable configuration, no data persistence

🚀 Quick Start

Option 1: Using uvx (Recommended)

# Run directly, no installation needed
uvx code-review-mcp

Option 2: Using pip

pip install code-review-mcp

# Run the server
code-review-mcp

# (Optional) Install Cursor rules to your project
code-review-mcp init-rules

Option 3: From Source

git clone https://github.com/OldJii/code-review-mcp.git
cd code-review-mcp
pip install -e .
code-review-mcp

🔧 Configuration

Environment Variables

Variable Description Required
GITHUB_TOKEN GitHub personal access token When using GitHub
GITLAB_TOKEN GitLab personal access token When using GitLab
GITLAB_HOST GitLab host URL For self-hosted (default: gitlab.com)

Getting Tokens

GitHub

# Option 1: Using gh CLI (Recommended)
brew install gh
gh auth login

# Option 2: Manual Token Creation
# Visit https://github.com/settings/tokens
# Create Personal Access Token with 'repo' scope
export GITHUB_TOKEN="your-token-here"

GitLab

# Option 1: Using glab CLI (Recommended)
brew install glab
glab auth login

# For self-hosted GitLab
glab auth login --hostname gitlab.yourcompany.com

# Option 2: Manual Token Creation
# Visit GitLab -> Settings -> Access Tokens
# Create token with 'api' scope
export GITLAB_TOKEN="your-token-here"
export GITLAB_HOST="gitlab.yourcompany.com"  # For self-hosted

📱 Client Configuration

Cursor

Edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "code-review": {
      "command": "uvx",
      "args": ["code-review-mcp"],
      "env": {
        "GITHUB_TOKEN": "your-github-token",
        "GITLAB_TOKEN": "your-gitlab-token"
      }
    }
  }
}

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "code-review": {
      "command": "uvx",
      "args": ["code-review-mcp"],
      "env": {
        "GITHUB_TOKEN": "your-github-token",
        "GITLAB_TOKEN": "your-gitlab-token"
      }
    }
  }
}

SSE Mode (Remote Deployment)

# Start SSE server
code-review-mcp --transport sse --port 8000

Client configuration:

{
  "mcpServers": {
    "code-review": {
      "url": "http://your-server:8000/sse"
    }
  }
}

WebSocket Mode (Remote Deployment)

# Start WebSocket server
code-review-mcp --transport websocket --port 8000

Client configuration:

{
  "mcpServers": {
    "code-review": {
      "url": "ws://your-server:8000/ws"
    }
  }
}

🐳 Docker Deployment

Build Image

docker build -t code-review-mcp .

Run Container

stdio mode

docker run -i --rm \
  -e GITHUB_TOKEN="your-token" \
  code-review-mcp

SSE mode

docker run -d --rm \
  -e GITHUB_TOKEN="your-token" \
  -p 8000:8000 \
  code-review-mcp --transport sse

🔨 MCP Tools

Information Retrieval

Tool Description
get_pr_info Get PR/MR details (title, description, branches)
get_pr_changes Get code changes (diff), supports file type filtering
extract_related_prs Extract related PR/MR links from description

Adding Comments

Tool Description
add_inline_comment Add inline comment to specific code line
add_pr_comment Add general comment
batch_add_comments Batch add comments (inline + general)

💬 Usage Examples

Chat with Cursor or Claude:

Review GitHub PR

Review https://github.com/facebook/react/pull/12345

Review GitLab MR

Review https://gitlab.com/group/project/-/merge_requests/678

Review Self-hosted GitLab MR

Review https://gitlab.yourcompany.com/team/project/-/merge_requests/90

Review Only Specific File Types

Review this PR, only check .py and .js files:
https://github.com/owner/repo/pull/123

🧪 Debugging & Testing

Using MCP Inspector

# Run with MCP Inspector
npx @modelcontextprotocol/inspector uvx code-review-mcp

This launches a web interface where you can:

  • View all available tools
  • Manually call tools and inspect results
  • Debug parameters and responses

Local Development

# Clone repository
git clone https://github.com/OldJii/code-review-mcp.git
cd code-review-mcp

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Debug with Inspector
npx @modelcontextprotocol/inspector python -m code_review_mcp.server

📁 Project Structure

code-review-mcp/
├── src/
│   └── code_review_mcp/
│       ├── __init__.py      # Package entry
│       ├── cli.py           # CLI commands (init-rules, etc.)
│       ├── server.py        # MCP server main logic
│       ├── providers.py     # GitHub/GitLab providers
│       └── rules/           # Bundled Cursor rules
│           ├── code-review.mdc
│           └── code-review-en.mdc
├── pyproject.toml           # Project config & PyPI publishing
├── Dockerfile               # Docker build file
├── smithery.yaml            # Smithery deployment config
├── CHANGELOG.md             # Changelog
├── CONTRIBUTING.md          # Contributing guide
└── README.md                # Documentation

🎯 Cursor Rules (Recommended)

This package includes built-in code review rules for Cursor IDE. Install them to your project with one command:

# Install rules to current project
code-review-mcp init-rules

# Install to a specific directory
code-review-mcp init-rules --target /path/to/project

# Overwrite existing rules
code-review-mcp init-rules --force

# List available rules
code-review-mcp list-rules

After installation, the rules will be available in your project's .cursor/rules/ directory:

  • code-review.mdc - Chinese version
  • code-review-en.mdc - English version

Customizing Rules

The installed rules are general templates. You can customize them for your project:

  • Priority definitions
  • Checklist items
  • Comment format
  • Deduplication rules

🤝 Contributing

Contributions welcome! See CONTRIBUTING.md for details.

📄 License

MIT

🔗 Related Links

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Code Review MCP

How do I install Code Review MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Code Review MCP safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 2 of the 3 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Code Review MCP still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.