Enables AI agents to search code by meaning, explore codebase structure, store and query knowledge with temporal facts, and read source code through a set of MCP tools.
Enables AI agents to perform comprehensive, zero-infrastructure codebase analysis through 24 MCP tools, covering security, quality, architecture, type safety, git history, and dead code detection with high precision and local privacy.
Enables AI agents to access unified development tools including code generation, documentation synchronization, test case rendering, and architecture graph queries through a single MCP server.
Enables AI agents to manage local project files and Git operations through MCP tools, including file CRUD, search, Git status, recent commits, and project summaries.
Provides AI coding agents with five intelligence layers (dependency graph, git history, documentation, architectural decisions, code health) via nine MCP tools, enabling deep codebase understanding and reducing exploration cost.