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.
code-review-graph is a local-first code intelligence graph that builds a persistent structural map of a codebase and supplies relevant context to AI coding tools through MCP and a CLI. It is used for code review and large-repository workflows, with catalogue add-ons providing integrations and instructions for operating it.
This repository also configures its own agents. See what code-review-graph tells them →
MCP server Claude CodeCodexCursor +2
Local-first knowledge graph for token-efficient code review through MCP and CLI. Runs locally from the code-review-graph Python package.