code-review-graph

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.

366 articles 20.1k View on GitHub ↗
366 articles
How to Filter Exposed MCP Tools for Token-Constrained Environments

Filter exposed MCP tools for token-constrained environments by specifying allowed tools via CLI flag or environment variable. Reduce LLM token consumption effectively.

how-to-guide
Aug 18, 2026
How the MCP HTTP Transport Prevents DNS Rebinding Attacks

Learn how the MCP HTTP transport prevents DNS rebinding attacks using strict Host and Origin header validation with the LoopbackOriginGuard ASGI middleware. Secure your applications today.

how-to-guide
Aug 18, 2026
Framework-Aware PHP Parsing Capabilities in code-review-graph: A Deep Dive into Laravel-Aware Static Analysis

Explore framework-aware PHP parsing in code-review-graph. Discover how it leverages Composer PSR-4, Blade, and Laravel semantics for advanced static analysis and edge creation.

deep-dive
Aug 18, 2026
How FTSS Full-Text Search Combines Keyword and Vector Similarity

Discover how FTSS combines keyword and vector similarity for powerful hybrid search. Learn about the weighted sum formula for semantic and lexical ranking.

deep-dive
Aug 18, 2026
How the Memory Loop Persists Q&A Results for Re-Ingestion in code-review-graph

Discover how the memory loop in code-review-graph persists Q&A results using markdown files for efficient re-ingestion and analysis runs.

internals
Aug 18, 2026
How to Register Multiple Repositories for Cross-Repo Search in code-review-graph

Easily register multiple repositories for cross-repo search in code-review-graph. Add repos to your workspace for unified indexing and seamless searching across your codebase.

how-to-guide
Aug 18, 2026
How Token Savings Estimate Is Calculated and Verified in Code-Review-Graph

Learn how code-review-graph calculates and verifies token savings using naïve standard and graph-based methods. Discover the testing methods for accurate efficiency.

how-to-guide
Aug 18, 2026
How Edge Confidence Scoring Categorizes Edge Types in Code-Review-Graph

Discover how edge confidence scoring categorizes edge types in code-review-graph into EXTRACTED and INFERRED tiers. Learn about the numeric confidence scores.

deep-dive
Aug 18, 2026
Supported Refactoring Operations in tirth8205/code-review-graph: Rename, Dead Code Detection, and Suggestions

Discover supported refactoring operations in tirth8205/code-review-graph including rename, dead code detection, and AI suggestions. Streamline your code reviews.

how-to-guide
Aug 18, 2026
How Automatic Wiki Generation Creates Markdown Pages in code‑review‑graph

Learn how code-review-graph automatically generates markdown wiki pages using Jinja templates and optional LLM summaries via the generate_wiki command.

how-to-guide
Aug 18, 2026
How to Export the Code-Review Graph to Neo4j, GraphML, or Obsidian

Export your code review knowledge graph to Neo4j, GraphML, or Obsidian using the GraphStore API and CLI. Learn how to visualize code contributions effectively.

how-to-guide
Aug 18, 2026
How the code-review-graph GitHub Action Performs Local Risk-Scored PR Reviews

Discover how the code-review-graph GitHub Action delivers local, risk-scored PR reviews. It analyzes code on your CI runner, generating a knowledge graph for accurate risk assessments without external code sharing.

how-to-guide
Aug 18, 2026
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