MCP Code Review Tool

Example Use Cases

• 1

  Run automated code reviews locally via MCP using an LLM backend (OpenRouter/OpenAI-compatible).

• 2

  Integrate a code-review service into an MCP server configuration (mcp.json) and invoke it as a tool/command.

• 3

  A web-based interface for multi-file code uploads, quality assessment, and visual review reports for local projects.

Description

This project implements a Model Context Protocol (MCP) server tool to run code review workflows using an LLM (configured through OpenRouter/OpenAI-style env vars). It provides both a command-line/server executable (built output in dist/) and a newly added web-based code review UI that supports multi-file upload, quality evaluation, and visual reports. The repo is implemented in Node.js + TypeScript and is configured via an mcp.json entry and environment variables for the LLM API. It is useful for integrating local code review services into an MCP ecosystem or running standalone web-based code analysis locally.