AI-powered code-review toolkit: MCP server + CLI to analyze GitHub PRs with local LLM smells, cloud LLM summaries, inline comments, risk gating, and
AI-powered code-review toolkit: MCP server + CLI to analyze GitHub PRs with local LLM smells, cloud LLM summaries, inline comments, risk gating, and test stub
Modern PRs are hugeβsecurity issues or performance regressions slip through. ReviewGenie does a 30-second AI review:
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| inline | Posts or previews comments |
| check | CI gate (risk_score > threshold) |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Python library for easily interacting with trained machine learning models
A Model Context Protocol (MCP) server built in TypeScript that integrates with GitHub's API, enabling AI assistants to manage repositories, issues
MCP server for Uber Eats - let AI agents order food delivery
Every SentinelOne v2.1 management endpoint, plus an offline SQLite store and cross-entity analytics