MCP server that exposes Python function- and module-level call graphs for agentic coding clients, enabling tools like callers_of, callees_of, and neighborhood queries.
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.
MCP server for indexing source code from repositories into a Neo4j graph database and enabling Graph RAG-based search and traversal of functions via natural language queries.
A lightweight, zero-configuration MCP server for source code analysis with GraphRAG capabilities, enabling structural understanding and efficient code completion from MCP-compatible AI tools.
MCP server that exposes code tracing capabilities including journey flows, HTTP seams, and findings from indexed projects, allowing AI assistants to query software architecture.
MCP server for semantic code search and dependency graph analysis. Indexes codebases into a knowledge graph with vector embeddings for AI-powered code understanding.