"CSS" matching MCP servers:

Answers what CSS you can ship today using live Baseline and MDN browser-compat-data, with tools for searching features, checking exact browser support, and auditing stylesheets.

AI-powered QA testing platform — catches JS errors, accessibility failures, visual regressions, API loops, security issues, and more via Chrome DevTools MCP

Enables auto-configuration and validation of React components against a glassmorphic design token system using an AST correction engine. It supports managing UI presets, enforcing design uniformity in Monaco IDE, and exporting tokens as CSS, Tailwind, or JavaScript variables.

Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.

Enables AI models to run Stylelint on CSS files and fix linting warnings directly through the Model Context Protocol.

A companion MCP server that makes CSS legible to AI agents by resolving cascade, tracing properties, and explaining what applies and why before an agent modifies styles.

Gives AI coding tools access to the CSS cascade the way DevTools does — which rules matched, which won, where each came from.

Enables AI to directly read and analyze Lanhu design drafts and requirement documents to generate HTML, CSS, and structural analyses. It allows users to extract design slices and process prototype pages directly within AI clients.

Analyzes scroll-triggered animations on any webpage using Playwright, extracting GSAP, ScrollTrigger, Lenis, and CSS code via AST and runtime detection.

Finds the closest Tailwind CSS palette colors to any given CSS color value. Supports multiple color spaces and customizable result filtering to help match designs to Tailwind's color system.

MCP server that certifies or refutes the soundness of linear integer guards over declared boxes, returning concrete counterexamples when unsound and honest refusals when the domain is too large.

MCP server providing email client compatibility data from caniemail.com, enabling agents to lint HTML/CSS for email client support, check feature support across clients, and search for features by keyword, with verdicts including supported, unsupported, mitigated, and untested.

Enables checking web feature compatibility with Baseline standards, analyzing HTML, CSS, and JavaScript code to provide detailed reports on Baseline status, browser support, and recommendations.

Exposes codebase memory as native tools for AI agents, enabling queries, feature tracing, impact analysis, and alignment verification.

Enables cross-repository architecture discovery and dependency routing across multi-service codebases, with automated scanning and batch AST indexing for AI agents to trace request lifecycles and navigate service boundaries.

Exposes Language Server Protocol (LSP) features as MCP tools, enabling IDE-grade semantic navigation including go-to-definition, find references, hover info, and symbols across multiple programming languages (Python, Rust, C/C++, TypeScript/JavaScript, React, HTML, CSS).

An MCP server that detects CSS cascade conflicts and Tailwind utility clashes, returning structured reports with risk scores for AI coding agents and CI pipelines.

Connects Figma designs to AI agents, enabling extraction of production-ready code, assets, and design tokens through natural language descriptions. Supports React, Vue, CSS, and Tailwind with real-time design system analysis.

An MCP server that intelligently beautifies and minifies JavaScript and CSS files, with auto-detection of minified files and a smart workflow for editing and re-minifying.

Provides access to SvelteKit and Tailwind CSS documentation, code snippets, and component examples with secure file operations and caching for building modern web applications.