AmanMCP Local Code Search

Example Use Cases

• 1

  Hybrid keyword and semantic search over local codebases.

• 2

  AST-aware code chunking and multi-language support.

• 3

  Privacy-first, zero-configuration local RAG integration with Claude AI.

Description

AmanMCP enables fast, hybrid search combining BM25 keyword and semantic vector search over your local codebase. It supports multi-language AST-aware chunking and integrates with Claude AI via the MCP protocol for enhanced code understanding and querying. The tool prioritizes privacy by running 100% locally without telemetry or cloud dependencies, offering sub-100ms query responses and easy setup with Ollama or MLX embeddings.