"CSS Modules" matching MCP servers:

This server integrates with Mozilla Developer Network (MDN) documentation to suggest CSS properties, check browser support, and provide implementation guidance with user consent mechanisms.

Enables CSS analysis with 150+ metrics, MDN documentation retrieval, and browser compatibility checks for CSS properties.

Provides up-to-date CSS documentation and browser compatibility data from MDN through natural language queries. Features intelligent caching and supports all CSS properties, selectors, functions, and concepts with automatic normalization.

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.

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.

Provides project-specific guides and instructions by selecting modules based on a project profile, enabling developers to get contextual instructions for their tech stack and architecture.

Enables AI agents to browse and teach the Deep Learning DIY course, providing access to modules, notebooks, transcripts, quizzes, slides, and homework via MCP tools.

Provides an MCP knowledge base and tools for porting LuneOS to Android devices, covering kernel porting, boot images, GSI building, Yocto bring-up, nyx-modules, and a staged debugging playbook.

MCP server for the Open edX Paragon design system, providing AI assistants with structured access to component documentation including props, events, code examples, and CSS design tokens.

Gives agents props, examples and CSS variables for the Bestax React component library (Bulma v1). Runs offline.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Enables managing internal documentation with search and add capabilities, and fetching official documentation from 13+ popular libraries via MCP tools.

Enables an MCP client to query a token-driven SCSS design system out of the box, with no manual SDK or zod install step, exposing 30 tools covering themes, mixins, functions, tokens, animations, components, recipes, doc readers, size resolution, and prompt assembly. It resolves that data directly from the installed css-is-awesome package, so answers always match the version the user actually has.

Exposes the AKIJ Resources Compliance Management System knowledge base, including Bangladesh legal risks and multi-tier compliance resolution, enabling compliance checks, risk lookup, and coverage gap reporting.

MCP Server for accessing W3C/WHATWG/IETF web specifications. Provides AI assistants with access to official web standards data including specifications, WebIDL definitions, CSS properties, and HTML elements.

Enables MCP-compatible assistants to read Canvas course information—including courses, assignments, syllabi, modules, pages, and announcements—through a local read-only server.

Provides programmatic access to 30+ Basecoat CSS (HTML port of ShadCN UI) components with usage documentation, setup scripts, and theme switching code. Enables AI assistants to help developers build accessible HTML interfaces with forms, navigation, feedback, interactive, and layout components.

Provides access to 77 pre-built, accessible Basecoat CSS UI components across forms, navigation, feedback, interactive, and layout categories, enabling AI assistants to retrieve HTML components and usage documentation for building user interfaces.

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.

Provides comprehensive tools for TailwindCSS development including utility class retrieval, CSS-to-Tailwind conversion, and color palette generation. It enables AI assistants to search documentation, generate component templates, and provide framework-specific installation guides.