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.
Verdict MCP is a gatekeeper server that enforces code completeness, test coverage, and premium UI/UX standards on AI agents by auditing code, validating design tokens, and running tests with 95% coverage and 80% mutation score gates.
MCP server that helps AI agents create UIs that don't look AI-generated by auditing components, refining copy, suggesting themes, and checking accessibility/contrast.
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.
Automatically enhances developer prompts with quality requirements, codebase context, and architectural patterns, then orchestrates other MCP servers to ensure AI coding assistants produce high-quality, structured code that follows best practices and security standards.
MCP server that exposes a design system and UX rulebook as tools, enabling AI to generate UI consistent with your design tokens, components, layout rules, accessibility guidelines, and templates. It also provides a review tool to score UI proposals against the design system.