"MUI" matching MCP servers:

Delegates frontend/UI refinement to Gemini via agy CLI, using iterative vision loops and diff-gating to realign UIs to design mockups without affecting backend code.

MCP server that annotates any web page with hover labels — zero extensions, works in any browser

Enables coding agents to see the UI they just changed without flooding their context window, returning a structured text summary (console errors, failed requests, overflow, layout shifts, accessibility violations) plus small crops of only the regions that changed since the last capture. All output is fitted into a chosen token budget, with captures stored on disk and evicted automatically.

Enables AI agents to rapidly drive and inspect real web pages through persistent browser sessions, using accessibility-tree snapshots and DevTools-grade diagnostics to identify and diagnose issues.

Enables AI-driven UI inspection and optimization by scanning websites with configurable viewports, capturing screenshots, running deterministic accessibility and layout checks, and generating prioritized reports with fix prompts.

Enables agents and users to query mapped UI flows, retrieve immutable revision-bound browser evidence and screenshots, compare flow changes across revisions, and inspect coverage gaps or UI impact.

Enables multiple MCP clients to share a single Chrome instance while maintaining isolated tab sessions for each client. It acts as a multiplexer between clients and the chrome-devtools-mcp server, preventing tab conflicts across different sessions like Claude Code windows.

Imports public websites and extracts UI components and design tokens, making them available via MCP for AI coding agents to reuse in implementations.

Enables low-latency, structured browser automation through a local MCP server, supporting safe navigation, observation, table extraction, and verified clicks on Windows with a dedicated Edge profile.

Automates Salesforce via browser using Playwright with persistent session. Supports Data Cloud, Setup, and other UI-only areas through generic tools.

An MCP server that enables AI agents to autonomously test, debug, and analyze web interfaces visually using Playwright, with 30 tools for screenshots, workflows, performance, and visual comparison.

MCP server for extracting UI components, design tokens, and patterns from websites and generating production-ready React, Vue, and HTML components.

Analyzes website UIs using Playwright and provides precise CSS/HTML fix instructions for AI coding assistants like GitHub Copilot and Cursor.

Enables a chat session's owner to reach any host through arbitrary HTTP methods with custom headers and bodies, raw TCP sockets, outbound WebSockets, and browser-grade scraping that solves challenges and discloses explicit failover routing.

Enables AI agents to drive Playwright-based browser automation for UI testing, returning JSON/HTML reports with screenshots without server-side LLM or test scripts.

An MCP server that captures rendered UI, diagnoses design tells and consistency drift, and generates redesign diffs from natural language art direction, all within Cursor.

MCP-first UI/UX review layer for AI-generated frontends. Enables reviewing web pages via URL, capturing screenshots, extracting layout metrics, and generating structured repair plans for agents.

Enables AI agents to autonomously debug UIs by delegating high-level stories to a small agent that drives browsers or desktop apps and reports structured pass/fail findings with evidence.

specgate is an MCP server that verifies UI design fidelity by comparing a live DOM against Figma specs, reporting specific CSS property deltas so agents know exactly what to fix. It also freezes measurement results into lock files for fast offline regression detection.

Enables developers to search and retrieve captured UI and interaction cases by their intended purpose during coding sessions, making reproduced design references directly available to coding agents.