Use code-review-graph to give coding agents targeted review context

code-review-graph is a practical add-on for teams that ask Codex, Claude Code, Cursor, Gemini CLI, or similar assistants to review real repositories. Instead of making the model reread broad chunks of the codebase, it builds a local Tree-sitter-backed graph of functions, classes, imports, calls, tests, and affected flows, then exposes targeted context through MCP and CLI commands.

The useful part is that it is local-first and installable today from PyPI. The project documents one-command setup, platform-specific install targets, incremental updates, broad language coverage, and a GitHub Action that can post risk-scored pull request comments. That makes it worth testing in larger repos where review prompts waste tokens or miss the actual blast radius of a change.

Caveats: treat the benchmark claims as project-reported until you reproduce them on your own codebase, and review the generated MCP/editor configuration before enabling it across a team. The current PyPI and GitHub release checked for this Loot is v2.3.7, published July 18, 2026, with Python 3.10+ required.