A semantic code retrieval engine for AI agents that enables hybrid search, graph expansion, and token-aware context packing, integrating with MCP to provide precise code context to LLMs.
A Model Context Protocol server that enhances AI agents by providing deep semantic understanding of codebases, enabling more intelligent interactions through advanced code search and contextual awareness.
A Model Context Protocol server for local repository indexing and code understanding, enabling semantic search, AST analysis, dependency tracking, and symbol resolution.
MCP server for context-aware codebase exploration using FastContext model, combining LLM-guided search with fuzzy matching to find relevant code snippets.
A local codebase retrieval tool that indexes a git repository into SQLite and provides query and retrieval capabilities over MCP stdio, enabling coding agents to search and retrieve code chunks from local repositories without external data transmission.