"A graph database management system: Neo4j" matching MCP servers:

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.

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.

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.

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.

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.

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 coding agents to query a workspace's design system before writing UI and validate generated code against the same system afterward, using configurable token and component sources.

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

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

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.

The Wellx Design System MCP enables AI agents to access the single source of truth for Wellx design, including tokens, component specs, rules, and search, ensuring consistent design implementation across surfaces.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

AI-native design engineering platform that converts Figma or live websites into a semantic design graph for code generation, and generates Figma designs from prompts with a self-improving director loop.

Exposes iDRAC design-system knowledge via a single get_component tool, currently returning placeholder data for known components.

Syncs design tokens and components from Figma to a Design System codebase, enabling automated generation of React components and Storybook stories.

A Houdini MCP server fork for CsrLib-Houdini workflow, providing enhanced tools for scene management, node discovery, graph editing, and safe code execution with tiered security policies.

Enables AI agents to create and manage consistent multi-screen UI designs through a token-efficient MCP interface, with design system tokens, components, flows, and visual review.