"CSS" matching MCP servers:

Enables LLMs to interact with Cascade CMS via REST API, supporting asset CRUD, search, publish, workflow, and more through 37 MCP tools and 4 resources.

Agency-grade MCP server for WordPress Elementor — multi-site management for 120+ WordPress sites with safe edits (backup + auto-rollback + post-write verification), template export/import, global widget detection, CSS flush, WP-CLI escape hatch, and headless Chrome screenshots. 34 tools across pages, widgets, templates, bulk find/replace, and fleet operations.

MCP server for the Elegant 1.0 design system that provides 12 tools for AI-assisted UI generation. It outputs single HTML files with CSS, JS, and assets served from CDN, requiring a GitHub token to fetch component documentation.

Enables AI assistants to programmatically generate images, GIFs, and PDFs from HTML/CSS or web screenshots using the Pictify API. It also supports template management, batch rendering jobs, and A/B test experiment controls.

An MCP server providing comprehensive HubSpot CMS development documentation, enabling users to get contextual information about building HubSpot websites through natural language.

Enables styling and management of Ghost blogs by providing vision of the live page (markup and CSS) for accurate CSS targeting, along with tools for content management via Ghost's Admin API.

Enables AI models to manage, curate, draft, publish, and administer self-hosted Ghost CMS blogs and newsletters.

Model Context Protocol (MCP) integration for managing content in the DevHub CMS system (blog posts, content, location administration)

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.

MCP server for fetching, parsing, and managing RSS feeds. Features Fetch and parse RSS/Atom feeds In-memory caching with TTL Batch fetching of multiple feeds Monitor feeds for new items Search content across multiple feeds Extract and format feed content

Fetch, filter, and search RSS blog feeds to monitor industry content, track competitor blogs, and discover trending topics. 8 tools for feed management, article search, and content monitoring.

Advanced Model Context Protocol server that integrates Gemini AI with Tailwind CSS, providing intelligent component generation, class optimization, and cross-platform design assistance across major development environments.

Enables extraction of design context from Figma files as CSS-like properties and provides tools to render Figma nodes as images. It integrates with AI agents via the Model Context Protocol to facilitate design-to-code workflows by providing layout, style, and typography information.

Enables interaction with Figma designs through the Figma API, allowing users to export images in multiple formats, extract style data and CSS, analyze design elements, and retrieve SVG code from Figma files. Supports batch operations and comprehensive design element analysis including images, vectors, and components.

Enables LLMs to manage Plone sites with dynamic page layouts, supporting CRUD operations on content and layout components via the cs_dynamicpages architecture.

Enables interaction with Concrete CMS sites through the Concrete CMS REST API, allowing content management, user operations, and file uploads via natural language.

A tool that integrates Figma with Cursor through the Model Context Protocol, allowing users to retrieve, optimize, and convert design data from Figma files into structured CSS and design tokens.

Enables searching and retrieving content, module information, and Twig template snippets from a-blog cms via its GET API.

Enables AI agents to manage Umbraco CMS content through natural language, including documents, media, document types, and data types via the Umbraco Management API.