"Blackmagic Design" matching MCP servers:

Compare design and implementation screenshots using pixel-by-pixel analysis, generating visual diff images and metrics.

Enables AI agents to validate design system constraints, including WCAG accessibility, token relationships, and consistency, through MCP tools like validate, explain, and suggest-fix.

Audits any site's UX the way a design-literate reviewer would — contrast, tap targets, type scale, colour discipline, scan patterns, copy — and returns the rule, the source line and the exact fix.

Grades MCP servers on agent usability (A–F) — description quality, schema design, tool naming and token cost, the properties that decide whether a model picks the right tool. Benchmarked across 36 popular servers; a third scored D or F.

Enables AI assistants to summarize Playwright test runs, identify flaky tests, heuristically triage failures, generate Playwright test stubs, and retrieve recent GitHub CI status through MCP tool calls.

Provides AI assistants with visual feedback for responsive web design by capturing screenshots and extracting DOM layout data through the Viewpo macOS app. It enables automated UI verification and responsive behavior comparison across multiple viewport breakpoints.

Enables MCP clients to open websites, capture screenshots at multiple breakpoints, and run automated design audits for issues like overflow, small tap targets, low contrast, missing alt text, tiny text, and clipped content.

An MCP server that audits websites for accessibility (WCAG 2.1 AA/EAA), performance, SEO, design quality, and mobile responsiveness, providing actionable scores, grades, and prioritized fixes.

Compares Figma frames to live pages, checking colors, fonts, and border radii, and generates a shareable HTML report.

An MCP server for in-loop design review of web previews. It enables agents to submit a preview URL, receive structured findings with suggested fixes, and recheck after applying changes, while never editing code itself.

Voice-powered bug reporting MCP server with 13 tools. Captures console logs, network errors, DOM traces, and developer voice descriptions. AI reads structured reports to find and fix bugs automatically. Chrome Extension + Python CLI.

Provides an LLM with a real Chromium browser to perform web tasks, recording every action into a structured trace for later verification of goal completion.

This is an unofficial, community-built MCP server for qTest Manager. Not affiliated with or endorsed by Tricentis. Browse projects, modules, and test cases Create/delete test design modules Create and manage test execution cycles Add test cases into execution suites

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.

Comprehensive MCP server for end-to-end UI development, offering tools to generate components, manage design tokens, audit accessibility, autofix issues, inspect live pages, compare screenshots, and more across multiple frameworks.

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.

Enables AI assistants to perform automated web testing by controlling a Chrome browser to navigate, interact with pages, capture screenshots, extract console logs, and simulate mobile devices for responsive design testing.

An MCP server that provides comprehensive UX best practices covering accessibility, usability, UI patterns, design systems, performance, and more, enabling clients to analyze and generate UX-optimized code and recommendations.

Audits local datasets and ML training code for target, temporal, and entity leakage, PII exposure, and invalid evaluation design, returning structured evidence and pass/review/block verdicts before model training.

Enables comparison of mobile app screenshots against design mockups, with Calorix as the first integration target.