Enables coding agents to query a local-first code intelligence graph of Python repositories—covering functions, classes, modules, and their relationships—via MCP, supporting subgraph retrieval, caller lookup, and impact analysis without re-reading the codebase.
An in-memory knowledge graph MCP server that gives coding agents structural and semantic recall over codebases by indexing Python source, ADR documents, and project configuration, exposing 7 tools for search, traversal, context retrieval, and natural-language Q&A.
An MCP server that enables LLMs to understand and analyze code structure through function call graphs, allowing AI assistants to explore relationships between functions and analyze dependencies in Python repositories.
An MCP server that indexes codebases into a queryable knowledge graph, enabling agents to answer structural questions like callers, callees, dependencies, and impact analysis through tools like callers, callees, deps, search, and impact.
