MCP GitHub PR Reviewer

@riomanik

リポジトリ

基本情報

カテゴリ

バージョン管理

トランスポート

stdio

作者

riomanik

MCP GitHub PR Reviewer について

概要はまだありません

#github #code-review #automation

MCP GitHub PR Reviewer の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP GitHub PR Reviewer 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 MCP GitHub PR Reviewer?

MCP GitHub PR Reviewer is a Node.js server that implements part of the Model Context Protocol (MCP) to automate code review for GitHub Pull Requests. It fetches PR details from GitHub, sends them to a Large Language Model (LLM) via OpenRouter.ai or directly to Anthropic/OpenAI, and saves the review results as both HTML and Markdown files.

How to use MCP GitHub PR Reviewer?

Clone the repository, install dependencies with npm install, configure environment variables in a .env file (including GITHUB_TOKEN and one of OPENROUTER_API_KEY or ANTHROPIC_API_KEY), and start the server with npm start. Then send a POST request to http://localhost:3000/review-pull-request with a JSON body containing the prLink field.

Key features of MCP GitHub PR Reviewer

Automatic code review via LLMs for bugs, security, and best practices
Integration with GitHub API to fetch PR diffs and descriptions
Flexible LLM support through OpenRouter.ai or direct Anthropic/OpenAI APIs
Informative output in both HTML and Markdown formats with public links
Modular server backend ready for integration with clients like bots or web apps
Configurable AI model and prompt customization

Use cases of MCP GitHub PR Reviewer

Quickly obtain initial feedback on new pull requests without manual review
Automate code quality checks and flag potential issues early in development
Provide consistent review summaries for team discussion and logging
Integrate with CI/CD pipelines or chat bots to notify developers of AI review results

よくある質問

What dependencies and runtime are required?

Node.js version 18.x or higher, Git, a GitHub Personal Access Token, and an API key for either OpenRouter.ai, Anthropic, or OpenAI. The server runs locally and exposes a single POST endpoint.

How does the server handle errors with GitHub or the AI API?

Common errors include 404 (PR not found), 403 (access denied), and 500 (AI API failure). Verify that the PR link is valid, the GitHub token has correct `repo` scope, and that the AI API key and model are configured correctly with sufficient balance.

Where are the review files stored?

Both HTML and Markdown review files are saved locally in a `reviews/` directory at the project root. The server also provides a public HTML URL for each review.

How can I customize the AI model or the review prompt?

Model selection is set via the `OPENROUTER_MODEL` or `ANTHROPIC_MODEL` environment variable. The system and user prompts used for review can be modified in the `getAIReview` function inside `server.js`.

What transport and authentication does the server use?

The server uses HTTP transport (POST requests) and expects a JSON body. It authenticates to GitHub via a Personal Access Token and to the AI provider via API keys stored in environment variables. No authentication is required for the local server endpoint itself.

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