MCP server to integrate CodeRabbit AI reviews into LLM workflows for GitHub pull requests.
coderabbitai-mcp is easy to set up with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view bradthebeeble/coderabbitai-mcp --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
This tool lets AI assistants like Claude read and act on CodeRabbit code review comments. It can fetch reviews, extract suggestions, and mark comments as resolved. You need a GitHub token and Node.js 18+ to run it.
The CodeRabbit MCP server is a Model Context Protocol server that bridges CodeRabbit AI reviews with large language models (LLMs) such as Claude. It enables automated analysis, understanding, and implementation of CodeRabbit suggestions on GitHub pull requests. Key features include retrieving all CodeRabbit reviews for a PR, getting detailed review information, extracting individual line comments with AI prompts, resolving comments (addressed, won't fix, not applicable), and an automated workflow via the /coderabbit-review slash command. The server is distributed as an npm package and can be run directly with npx. It requires a GitHub Personal Access Token with repo or public_repo scope and Node.js 18+. Configuration examples are provided for Claude Desktop and Claude Code. The tool is designed to streamline code review processes by allowing LLMs to programmatically interact with CodeRabbit, reducing manual effort and improving review consistency.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 391 days ago.
28 GitHub stars indicate community interest.
1 open issues signal maintenance load.
MIT license detected.
Automatically process and implement CodeRabbit review suggestions on pull requests
Integrate CodeRabbit reviews into AI-powered code review workflows
Resolve CodeRabbit comments programmatically from an LLM
Analyze review patterns and generate summaries from CodeRabbit feedback
Requires a GitHub Personal Access Token with repo scope; token should be kept secure and not shared.
The server executes code from npm packages; ensure you trust the source and verify integrity.
Automated resolution of comments may lead to unintended changes if not properly reviewed.
28
Stars
2
Forks
1
Issues
MIT
License
A CLI tool to create and hide GitHub comments using the GitHub REST API.
AI-powered GitHub automation for issue triage, PR review, labeling, and security scanning.
Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
MCP server to integrate CodeRabbit AI reviews into LLM workflows for GitHub pull requests.
Developers using Claude or other LLMs to automate code review tasks, DevOps engineers integrating AI code review into CI/CD pipelines, Open source maintainers looking to streamline PR review processes
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Requires a GitHub Personal Access Token with repo scope; token should be kept secure and not shared. The server executes code from npm packages; ensure you trust the source and verify integrity.
Similar or complementary options to evaluate include github-comment, aptu, Agent-CI.
Jun 7, 2026
3 security/trust notes recorded.
Setup difficulty is 2/5.