An MCP server that turns independent AI agents into a coordinated engineering team with shared task board, context, review loop, and enforced plan-implement-review-iterate workflow.
MCP server that provides project guardrails including prior art research, project status checks, next task retrieval, and quality gate enforcement for AI-assisted development.
An MCP server that provides a shared graph of an organization's projects, processes, areas, and principles, enabling consistent context for tools and AI agents.
An MCP server that adds engineering discipline to AI-assisted development, enforcing evidence-gated TDD, security review, backup strategy, and deployment generation to turn AI-generated code into production-ready software.
An MCP server that enables developers to summon AI development team agents directly from their IDE to help with tasks like PR reviews, security evaluation, and CI/CD deployment setup.