AmanMCP
Provides local-first semantic code search with hybrid BM25 and vector embeddings, featuring automatic project indexing and zero-config setup.
About
AmanMCP is a local-first RAG server that provides semantic code search capabilities for AI coding assistants through the MCP protocol. Built in Go with hybrid search combining BM25 keyword matching and vector embeddings, it supports multiple embedding backends including a bundled MLX server for Apple Silicon, Ollama integration, and static embeddings for offline use. The implementation features automatic project indexing with tree-sitter parsing for intelligent code chunking across many programming languages.
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