code-review-mcp
An MCP server for automated code review of GitHub pull requests. It checks security, quality, and license issues, and provides tools to list, inspect, and review PRs.
README
Code Review MCP Server
MCP (Model Context Protocol) Server สำหรับ automated code review ผ่าน GitHub
Tools
| Tool | Description |
|---|---|
list_pull_requests |
แสดงรายการ PRs ใน repo |
get_pull_request |
ดึงรายละเอียดและไฟล์ที่เปลี่ยนใน PR |
get_diff |
ดึง unified diff ของ PR |
get_file_content |
ดึงเนื้อหาไฟล์ใน repo |
review_security |
ตรวจ security issues (injection, XSS, secrets, weak crypto) |
review_quality |
ตรวจ quality issues (debug code, error handling, type safety) |
review_license |
ตรวจ license headers และ dependency changes |
review_code |
รัน security + quality รวมในครั้งเดียว |
Setup
# 1. Install dependencies
npm install
# 2. Copy env file
cp .env.example .env
# 3. Add your GitHub token to .env
GITHUB_TOKEN=ghp_your_token_here
Running locally (dev)
npm run dev
# Server runs at http://localhost:3000
Build & run
npm run build
npm start
Deploy to Render
- Push code to GitHub
- Go to render.com → New → Web Service
- Connect repository
- Render auto-detects
render.yaml - Set
GITHUB_TOKENin Environment Variables - Deploy
Deploy to Railway
- Push code to GitHub
- Go to railway.app → New Project → Deploy from GitHub repo
- Set
GITHUB_TOKENin Variables tab - Railway auto-builds and deploys
MCP Client configuration
Add to your MCP client config (e.g., Claude Desktop claude_desktop_config.json):
{
"mcpServers": {
"code-review": {
"url": "https://your-deployed-url.onrender.com/sse"
}
}
}
For local dev:
{
"mcpServers": {
"code-review": {
"url": "http://localhost:3000/sse"
}
}
}
GitHub Token
สร้าง token ที่ GitHub → Settings → Developer settings → Personal access tokens
Permissions ที่ต้องการ:
repo(read access to code, pull requests)
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.