A local MCP server that provides AI coding assistants with semantic search capabilities over codebases. It indexes code using local embeddings and exposes tools for efficient code retrieval, saving tokens and improving response quality.
A local-first MCP server that enables AI tools to safely inspect and search code repositories, providing indexing, deterministic BM25 search, code outlining, and context bundles without code modification.
A local-first MCP server that lets AI assistants search and retrieve context from indexed projects, Git state, decisions, and tasks without sending data to the cloud.
A self-hosted MCP server that indexes your codebase and provides AI assistants with deep context including file tree, full-text search, git history, dependencies, and stack detection, all without sending your code to third parties.
An MCP server and CLI tool that transforms codebases into AI-ready context through semantic search, call graph analysis, and incremental indexing. It enables AI assistants to perform hybrid vector and keyword searches to understand complex repository structures and cross-file relationships.
