Provides AI-powered architecture analysis and visualization of codebases, exposing 17 MCP tools for querying components, dependencies, and generating interactive diagrams.
Standalone MCP harness for cross-system process evidence, code-change impact review, and natural-language repository checkout mapping, with optional accelerators like CodeGraph.
Analyzes repositories, explains architecture, calculates change impact, and enforces guardrails for AI Agents like Claude Code, Cursor, and Codex via MCP tools.
Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.
Enables natural language analysis of local software repositories, providing insights into project structure, technologies, code, tests, and Git history through MCP tools.