tirth8205/code-review-graph

COLLECTIONcommunity
tirth8205MITUpdated 22d agoGitHub

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.

Stop burning tokens. Start reviewing smarter. Reproducing the benchmarks · 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, tracks changes incrementally, and gives your AI assistant precise context via MCP so it reads only what matters. One command sets up everything. detects which AI coding…

This collection bundles
7 skills1 MCP server

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18kGitHub stars
2kForks
22d agoLast update
Package
Authortirth8205
LicenseMIT
Sourcegithub
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · not run+0/30
Not yet scanned — package must be on npm
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 19d ago
EvalsNone
IndexedJun 14, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Stop burning tokens. Start reviewing smarter. Reproducing the benchmarks · 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, tracks changes incrementally, and gives your AI assistant precise context via MCP so it reads only what matters. One command sets up everything. detects which AI coding tools you have, writes the correct MCP configuration for each one, installs platform-native…

Keywords
ai-codingclaudeclaude-codecode-reviewgraphragincrementalknowledge-graphllmmcppythonstatic-analysistree-sittercollection