"CSS Modules" 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.

Enables querying git commit history to analyze when and why code changes happened, providing authorship context and diffs for specific modules.

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

Contract-first programming language with a local MCP server for checking types, effects, capabilities, and contracts in agent-written modules. Its review tool compares before and after source sets and returns receipts for new authority, weaker promise tiers, and new Guarded runtime obligations.

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.

Distills Claude Code's 310K-line source into 32 queryable modules via MCP, enabling AI agents to learn and reuse Claude Code's architectural patterns through natural language.

Enables AI agents to audit and fix CSS for generic AI-built design patterns, covering fonts, palettes, contrast, and type scales.

A local-first MCP preflight system to help AI inspect Python repositories before generating code, enabling reuse, extend, or create decisions. Currently in early development with only foundational modules implemented.

Provides Python refactoring capabilities via the Rope library, enabling AI agents to perform safe, project-wide code transformations such as renaming symbols, moving modules, and extracting methods.

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

Enables AI agents to navigate JS/TS, HTML, and CSS code — symbol info, outlines, callers, implementations, definitions, references, hover, and diagnostics — through bundled Node language servers. It also builds a cross-file index answering where CSS custom properties and #id/.class selectors are defined and used across stylesheets, markup, and scripts.

Enables AI agents to navigate JS/TS/HTML/CSS code through TypeScript, HTML, and CSS language servers, answering hover, definition, references, symbol search, outline, and diagnostics queries. Adds a cross-file index of CSS custom properties and #id/.class selectors that single-file language servers cannot provide.

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.

Provides an MCP interface for Agda's JSON interaction protocol, enabling type checking and interactive editing of Agda modules with support for workspace management and non-blocking operations.

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.

Enables AI assistants to extract and document Mendix Studio Pro modules by interrogating local .mpr files. Generates comprehensive JSON documentation of domain models, pages, microflows, and enumerations without sending data to the cloud.

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.