Automated Code Review Agent via MCP + GitHub

This workflow uses MCP's GitHub server to let an AI agent read PR diffs, analyze code quality, check against project conventions, and post review comments directly on GitHub. It reduces manual review time by 50-70% for routine PRs.

Workflow Diagram

Step-by-Step Guide

1. 1

   Install MCP GitHub Server

   Run: npx @modelcontextprotocol/server-github. Set GITHUB_TOKEN environment variable with repo:pull_request_write scope. Configure the server in Claude Desktop config.

2. 2

   Create Review Prompt Template

   Write a system prompt that defines your review criteria: 1) Code style compliance, 2) Potential bugs, 3) Security issues (OWASP), 4) Performance concerns, 5) Test coverage. Be specific about your team's conventions.

3. 3

   Webhook Integration

   Set up a GitHub webhook for pull_request events. Point it to a simple server (can be an n8n webhook) that triggers Claude with the PR details via MCP. The agent reads the diff, analyzes it, and prepares review comments.

4. 4

   Post Review Comments

   The agent uses the MCP GitHub server to post inline comments on specific lines. For critical issues, it requests changes. For clean PRs, it approves. Add a summary comment with overall assessment and metrics.

5. 5

   Feedback Loop

   Track which AI suggestions were accepted vs rejected by developers. Use this data to refine the review prompt. Set up a weekly report of AI review accuracy to continuously improve the agent.

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