A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.

CI-native security testing for MCP servers. Attack simulation, schema drift detection, and health scoring before agents depend on them.

MCP server that orchestrates language servers into agent-native workflows. 65 tools, 30 CI-verified languages.

A disciplined methodology for AI-assisted software development. Covers architectural constraints, validation hooks, session governance, and PAG (Pattern Abstract Grammar) for structured AI collaboration. Copy claude-setup/ into your project to start.