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.
MCP server that bundles curated development rules and tools to teach AI agents universal coding standards, testing, planning, and requirements engineering.
MCP server that keeps AI agents from over-engineering by providing decision ladders, diff scoring, and prune reviews. It helps enforce minimal-code discipline through CLI, SDKs, and MCP tools.
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 reduces AI agent token usage by up to 90% through intelligent context compression. Enables efficient code exploration, multi-file refactoring, and debugging by providing tools for smart reading, searching, and managing code context.
