What API keys are required?
Claude API key (`CLAUDE_API_KEY`) and GitHub Personal Access Token (`GITHUB_TOKEN`) with repo permissions are required.
AI Code Review MCP Server
@wn01011
基本情報
AI Code Review MCP Server について
pr 분석을 좀 더 편하게 하고자 미리 작성해주는 mcp 서버입니다.
AI Code Review MCP Server の設定
AI Code Review MCP Server のツール
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is AI Code Review MCP Server?
An AI-powered code review and quality management server built on the Model Context Protocol (MCP). It integrates with GitHub pull requests and the Claude API to analyze code changes by commit type, compute quality scores, detect security vulnerabilities, and assess performance impact. Designed for developers using GitHub who want automated, context-aware code reviews.
How to use AI Code Review MCP Server?
Clone the repository, install dependencies (npm install), set environment variables (CLAUDE_API_KEY, GITHUB_TOKEN, etc.) in .env, then start the server with npm run dev or npm start. Access the web UI at http://localhost:3001, enter an owner/repo and PR number, select a commit type, and click “PR 분석” to run analysis. Alternatively, call the MCP tool analyze_pr or use HTTP POST to /analyze.
Key features of AI Code Review MCP Server
- Commit‑type‑specific analysis (feat, fix, refactor, etc.)
- Quality score calculation (complexity, maintainability, security)
- Automatic security vulnerability detection
- Performance impact assessment
- Integrated review checklist and markdown report generation
- Review guidelines with best practices and common pitfalls
Use cases of AI Code Review MCP Server
- Automate PR reviews in a GitHub repository with commit‑type tailored feedback
- Generate comprehensive review guides and checklists for each commit type
- Compute and track code quality scores across multiple PRs
- Identify security issues and performance bottlenecks before merging
よくある質問
How do I connect to a GitHub repository?
Set up a GitHub webhook pointing to `https://your-domain.com/webhook` with content type `application/json` and events set to `Pull requests`. Provide the webhook secret in `GITHUB_WEBHOOK_SECRET`.
What happens if a PR analysis fails?
Check that the PR exists, the repository is accessible with the configured token, and that the Claude API key is valid with sufficient quota.
Can I customize the review templates or quality scoring?
Yes – edit `src/handlers/claude-client.ts` for prompt templates and `src/handlers/pr-analyzer.ts` for quality score calculation logic.
What transports and authentication methods are supported?
The server provides both HTTP APIs (REST over port 3001) and MCP tool calls. Authentication is via API keys set in environment variables.
「バージョン管理」の他のコンテンツ
Atlassian Bitbucket MCP Server
aashariNode.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
157
Linear MCP Server
jerhadfA server that integrates Linear's project management system with the Model Context Protocol (MCP) to allow LLMs to interact with Linear.
345
Gerrit Review MCP Server
cayirtepeomerThis MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.
37
Kin
Troy Fortin, Jr. (Firelock, LLC)The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change touches before it merges. Beside Git today.
45
GitMCP
idosalPut an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
8.2K
コメント