"file system" matching MCP servers:

Enables coding agents to read ground truth about a React design system — components, props, cva variants, tokens and docs — over MCP so they write UI that matches it. It also exposes a check_ui linter agents run on their own output, returning rule ids, locations and concrete fixes before review.

Enables AI coding agents to discover, compare, select, and enforce design systems and component libraries, with installation guidance, component APIs, and strict adherence directives to prevent default substitutions.

An MCP server that enables natural-language control of AutoCAD via file IPC or headless DXF generation, with tools for drawing, entities, layers, blocks, annotations, P&ID, views, and system operations.

A Model Context Protocol server that exposes an airline design system as a queryable knowledge base, enabling AI to discover components, find components for use cases, and scaffold prototypes.

Automated MCP server for the Insider Design System. Enables AI assistants to discover, understand, and generate code for over 60 Design System components with automated extraction from source code.

Provides AI assistants with access to WordPress Design System component information and design guidance.

A Model Context Protocol server that exposes a versioned brand package (tokens, rules, recipes, media rights, and audit gates) as resources, tools, and prompts for AI agents. It enables agents to plan and audit on-brand UI, image, motion, and video outputs while remaining read-only and credential-free.

Creates a local MCP runtime for design-system repositories, enabling AI coding agents to look up and use real components, icons, and tokens instead of guessing.

MCP server that exposes a design system and UX rulebook as tools, enabling AI to generate UI consistent with your design tokens, components, layout rules, accessibility guidelines, and templates. It also provides a review tool to score UI proposals against the design system.

An MCP server that lets Claude read Figma file comments directly, with tools to list comment threads scoped to a frame or file and render images of pinned nodes.

Provides AI agents with component documentation, usage examples, and design tokens from the WordPress Design System, enabling them to follow the latest design system guidance for creating user interfaces.

Enables AI agents to inspect Figma design files by fetching file summaries, page structures, specific nodes, and rendered image previews, along with signed-in user details and file comments. It lets agents review design feedback and explore frames, components, and layers without downloading full node trees.

UAE Design System (AEGOV DLS) for AI assistants: component catalogue, design tokens, UAE PASS & Emirates ID scaffolds, snippet validation.

Native Claude Code integration for @annondeveloper/ui-kit — a zero-dependency React component library with 147 components, 3 weight tiers, physics-based animations, and OKLCH color system. Gives Claude deep awareness of the library's components, design patterns, and conventions. Includes 5 skills for component discovery, code generation, design system reference, tier selection, and accessibility

Bridges AI assistants with Figma for design system extraction, bidirectional token sync, visual debugging, and design creation.

Self-hosted MCP server that enables ChatGPT agents to perform health checks, fetch design request context, and submit agent results back to a design system backend.

Provides resources, tools, and prompts for a Design System via MCP protocol, enabling component search, reading, and related component discovery.

Unofficial local MCP bridge for reading the currently open Figma file through a Figma plugin. Provides tools to inspect selection, file info, and export selected nodes as SVG/PNG.

Provides component information, usage guidelines, and code generation for AWS Cloudscape Design System in React, with search and pattern library capabilities.

Enables AI agents to query a design system's components, tokens, icons, patterns, and usage or accessibility guidelines through standardized MCP tools, with pluggable adapters for different data sources.