code-review-graph

by tirth8205 · Python · ★ 18,958

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

#ai-coding#claude#claude-code#code-review#graphrag#incremental#knowledge-graph#llm#mcp#python#static-analysis#tree-sitter

Install

pip install git+https://github.com/tirth8205/code-review-graph.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "code-review-graph": {
      "command": "uvx",
      "args": [
        "git+https://github.com/tirth8205/code-review-graph.git"
      ]
    }
  }
}

From the README

code-review-graph Stop burning tokens. Start reviewing smarter. English | 简体中文 | 日本語 | 한국어 | हिन्दी Usage · Commands · FAQ · Troubleshooting · GitHub Action · Reproducing the benchmarks · Roadmap AI coding tools can end up re-reading large parts of your codebase on review tasks. fixes that. It builds a structural map of your code with [Tree-sitter](https://tree-sitter.github.io/tree-sitter/), tracks changes incrementally, and gives your AI assistant precise context via [MCP](https://modelcontextprotocol.io/) so it reads only what matte…

Read full README on GitHub →

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