AI Skills for
Code Review & Technical Decisions
AI tools that help you review more code in less time, catch security issues before they ship, onboard engineers faster, and turn incidents into actionable postmortems.
Screenshots coming soon
About
An open source MCP server that performs AI-powered code reviews using large language models. Analyzes git diffs for staged changes, branch differences, or specific commits. Provides contextualized reviews based on your task description and project context. Works natively with Claude Code, Cursor, Windsurf, or any MCP-compatible client. No SaaS signup, no bot joining calls — runs locally alongside your development environment.
Permissions
Code Review MCP
🏆#1 Skill for MarketersAI-powered code reviews that analyze git diffs, trace dependencies, and catch bugs — right inside Claude Code
Open source developer building MCP tools for AI-assisted development workflows.
What engineering managers are saying
“We were drowning in PRs after adopting Copilot — output went up 30% but reviews became the bottleneck. Setting up the Code Review MCP took 10 minutes and now Claude flags the issues I'd catch manually. I focus my review time on architecture, not typos.”
David Park
Engineering Manager, Growth-stage Startup
“I stopped doing line-by-line reviews months ago. The MCP catches logic bugs and style inconsistencies I'd miss at 5pm on a Friday. My team ships faster because PRs don't sit in my queue for two days anymore.”
Elena Voronova
Team Lead, Fintech
“The branch diff analysis is what sold me. Before a big merge I ask Claude to review the full diff against main — it traces dependencies across files and flags things I wouldn't see looking at individual commits.”
James Okafor
Platform Engineering Manager
“As an EM who hasn't written production code in a year, this keeps me technically relevant. I can review PRs with Claude's analysis as context and give feedback that's actually useful instead of rubber-stamping.”
Nina Patel
Engineering Manager, SaaS Company
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