An MCP server that gives LLM agents structured, safe, and traceable access to engineering project documentation stored in Markdown/Git repositories, enabling management of requirements, decisions, tests, tasks, and impact analysis.
Enables natural language queries on technical specifications and automated code compliance checks using local RAG with vector search, integrated via MCP.
Standalone MCP harness for cross-system process evidence, code-change impact review, and natural-language repository checkout mapping, with optional accelerators like CodeGraph.
Enables AI coding agents and hosts to enforce deterministic repository boundaries via MCP, providing structured reads, supervised edits, snapshots, audits, and recovery with machine-readable evidence.