Local MCP server that provides semantic search (RAG) over code repositories, enabling AI clients like Claude and Gemini to access project context without manual re-upload.
MCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.
A local MCP server that parses codebases into semantic chunks, indexes them in SQLite with vector embeddings, and exposes MCP tools for LLM agents to query.
MCP server for local codebase memory: semantic indexing, hybrid search, and clean code analysis (static + LLM) with retrievable project notes, designed to run fully local on modest hardware.
A local MCP server that enables LLM clients like Claude to perform semantic code search and answer questions about a codebase using tree-sitter parsing and sqlite-vec vector storage.