An MCP server that enforces hard quality gates on AI coding agents, including forced web search, planning, and empirical test execution, to prevent common failure modes and ensure production-grade code.
An MCP server implementing a 7-stage agentic frontend workflow—from design audit to PR review—including AI-driven component generation, browser validation, E2E testing, and CI self-healing.
A universal MCP server that acts as a code quality gate for AI assistants, providing pre-generation guidance, post-generation review, and root cause analysis to improve code quality.
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.
Post-generation quality gate MCP server that audits and fixes AI-generated code for UI/UX design compliance and backend architecture robustness via tools like critique_ui, critique_backend, and generate_fix.
MCP server for website QA auditing, covering SEO, performance, security, accessibility, and agent experience with 260+ rules and AI-optimized output for coding agents.