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codebase-analysis

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Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.

  • Updated Feb 28, 2026
  • TypeScript

Zero-dependency codebase intelligence for AI agents and humans. Static analysis → structured Markdown → readable by any LLM. 8 code health agents included.

  • Updated Feb 25, 2026
  • TypeScript

A privacy-first tool to extract, tokenize, and optimize codebases for LLM context (ChatGPT, Claude, Gemini). Features intelligent filtering, security scanning for secrets, and local processing. Built with Next.js 16 & React 19.rate token counting, file tree navigation, and secret detection.

  • Updated Jan 13, 2026
  • TypeScript

🤖 Automate code documentation with AI to enhance understanding and streamline your workflow, saving time on unfamiliar codebases and projects.

  • Updated Mar 4, 2026
  • TypeScript

🚧 Parses import/export statements, generates dependency trees, and tracks filename references with alias resolution to map file relationships.

  • Updated Sep 23, 2025
  • TypeScript

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