An MCP server that transforms codebases into intelligent, queryable knowledge bases, enabling AI assistants to perform semantic search, explore architecture, and analyze code relationships.
MCP server that gives AI coding assistants persistent memory, structural code graph analysis, and safe multi-agent coordination, enabling them to answer architectural questions, track decisions across sessions, and coordinate safely in multi-agent workflows.
MCP server that builds a dependency graph of your codebase, giving AI agents structural understanding to analyze impact, find context, and make safe modifications across languages and infrastructure.
MCP server that provides coding agents with structured repository context, including graph-based navigation, dependency analysis, runtime flow tracing, and configuration surface across supported stacks.
A production-ready MCP server that enables AI assistants to intelligently understand, analyze, edit, navigate, and review software projects with multi-workspace support, Git integration, and semantic search.