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by M6saw0 • Search & Retrieval
A local MCP server and client that uses llms.txt files to provide retrieval-augmented generation (RAG) search over GitHub repositories.
Access and search up-to-date documentation and distilled knowledge for any GitHub repository using llms.txt indexes.
Serve retrieval data over SSE to editors or other tools that support MCP servers.
Lightweight RAG capabilities integrated into development workflows to find relevant files and repository context.
This project implements an MCP server and client that indexes and searches repository-specific llms.txt files to retrieve relevant information from GitHub repositories via Server-Sent Events (SSE). It includes utilities to create llms.txt entries, run an SSE-based MCP server, and run a client that can be integrated into editors. The workflow is designed so llms.txt can be created and updated using generative AI, making it easy to keep repository knowledge up to date without heavy manual maintenance.
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