kazuph-docs-rag
Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.
- Score
- 79.6762 signals
- Evidence
- 17 stars · 11 forks
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
Alternatives · MCPs
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What it is
MCP server Docs RAG, catalogued on PulseMCP. Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.
When to use it
Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.