Provides read-only, provenance-first repository navigation for agents and humans, with ranked lexical retrieval, exact query, document handles, symbol context, and change impact analysis.
Private, local-first code intelligence MCP server that builds a static graph of repositories and exposes search, architecture, impact analysis, and review tools via MCP.
Turns a codebase into a queryable graph with semantic search, call graphs, and control/data flow analysis, served to AI coding agents via the Model Context Protocol.
A unified code-intelligence gateway MCP server that gives coding agents a single safe API to search, trace, and understand any codebase using graph, LSP, and semantic engines, with a local-first privacy model and a safe-null contract.
Enables LLM agents to efficiently understand and navigate a codebase by providing semantic search over symbols and a reference graph, replacing expensive grep/glob calls with structured tools like definition lookup, caller/callee queries, and change-impact analysis.
Generates optimized repository maps and enables identifier search with graph-ranking, designed for efficient LLM context caching and codebase navigation.
