IskanderAl

IskanderAl / Auto-Review-ClaudeMCP

Public

A Python MCP (Model Context Protocol) server that connects Claude Desktop to GitHub Pull Requests. It fetches PR diffs, filters out binary and asset files (Unity `.meta`, images, audio, shaders, etc.), and gives Claude only the actual code to review. Built as a QA automation tool to speed up pull request reviews using AI.

19
0
100% credibility
Found Feb 21, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project creates a bridge for the Claude Desktop AI app to fetch and filter GitHub pull request code changes, helping developers and testers get quick AI-assisted reviews.

How It Works

1
🔍 Discover the Helper

You hear about a handy tool that lets your AI buddy Claude quickly check team code changes on GitHub without the clutter.

2
📥 Get It Ready

Download the files to your computer and prepare everything with a few simple steps.

3
🔑 Link Your Projects

Share your GitHub project details once – they're stored safely and never asked again.

4
🤝 Connect to Claude

Add a quick note in Claude's settings so it knows how to use your new helper.

5
🚀 Launch and Chat

Restart Claude Desktop, then simply ask it to list open changes or review a specific one.

6
💬 Request a Review

Tell Claude things like 'Show open pull requests' or 'What changed in pull request 42?'

✅ Enjoy Fast Feedback

Claude fetches the code differences, ignores images and extras, and gives you smart review insights to speed up your work.

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AI-Generated Review

What is Auto-Review-ClaudeMCP?

This Python MCP server bridges Claude Desktop to your GitHub repository via the python github api, letting you list open PRs and fetch diffs with a simple prompt like "Review PR #42". It automatically strips out binary noise—Unity .meta files, images, audio, shaders—delivering only the actual code changes for AI review. Setup involves a quick python github install via pip after cloning, with your GitHub token stored securely in the OS keychain.

Why is it gaining traction?

It stands out by focusing Claude on reviewable code, skipping asset clutter that bloats other python github copilot or AI review tools, making outputs concise and actionable. The python mcp server example integrates seamlessly into Claude Desktop configs or .mcp.json files, with tools like list_open_prs and get_pr_diff ready via MCP CLI. Developers dig the no-fuss token handling and stats on diff size, cutting token waste in python mcp client workflows.

Who should use this?

QA engineers automating PR checks in Unity or game dev projects, where .meta and binary files dominate diffs. Teams relying on Claude Desktop for faster code reviews, especially in repos heavy with python github projects or mixed-language stacks like C# and Python. Solo devs tired of manual filtering before AI analysis.

Verdict

Worth a spin for Claude users in asset-heavy repos—solid docs and python mcp sdk simplicity make it easy to test despite 14 stars and 1.0% credibility score signaling early maturity. Fork and contribute if you need broader file support; it's a niche time-saver, not production-ready yet.

(198 words)

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