docs-mcp-server vs codanna
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Docs MCP Server provides an always-current, personal documentation index to combat AI hallucinations and outdated knowledge for AI coding assistants.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.; codanna: Codanna provides 'X-ray vision' for AI code assistants, enabling them to understand code structure, trace relationships, and find implementations with precision. It facilitates context-first coding, eliminating the need for manual searching and speeding up R&D and pair programming workflows.
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.
Instantly find where a function is called and trace its call graph.
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