docs-mcp-server vs crg
docs-mcp-server: Docs MCP Server provides an always-current, personal documentation index to combat AI hallucinations and outdated knowledge for AI coding assistants. It fetches official documentation from various sources, including websites, GitHub, and local files, allowing AI to query exact library versions.; crg: `crg` (formerly `better-code-review-graph`) is a local-first knowledge graph tool for codebases, enabling token-efficient code reviews through semantic search, call-graph resolution, and structural analysis. It integrates with AI agents via MCP for precise context provision, leveraging local ONNX embeddings or cloud models for enhanced code understanding and security scanning.
TL;DR
- You need internal or private documentation indexed alongside public libraries.
- Everything must stay on your machine or network.
- You want answers for the exact library version your project uses.
- You do not want to scrape and index each library yourself: hosted indexes come ready-made.
- You cannot run Node.js 22 or newer.
- You want the best search quality with no embedding model or API key: the README says search is better with embeddings.
Performing token-efficient code reviews with precise context for AI agents
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