"Understanding Integrated Knowledge Graphs" matching MCP servers:

MCP server with 12 tools for design, UX, conversion, and product knowledge from Frontend Masters courses by Paul Boag and Sarah Drasner, enabling audits, accessibility checks, layout recommendations, and more.

Enables reading and editing nTop notebook block graphs, running them headlessly through nTop Automate, and measuring the resulting geometry.

Enables inspecting, editing, and building QuadSpinner Gaea terrain graphs through MCP, including cloning graphs, adjusting inputs and outputs, setting variables, and running silent builds.

Enables AI assistants to create Material Maker node graphs from natural language, validate them against the node catalog, and render them headlessly to PBR texture maps and editable .ptex files.

Enables developers to extract and organize Figma design files, including complete node data (tree structure and images) for AI understanding and code generation.

An MCP server enabling AI agents to author Unreal Engine 5 scenes directly, with tools for spawning actors, building PCG graphs, validating physics, generating terrain, and more through a single MCP connection.

Enables typed, transactional automation of LiquiGen node graphs, fixed host commands for one LiquiGen process, and validation of LiquiGen-to-Unreal export bundles.

Provides Claude with queryable knowledge of 300+ visual aesthetics from the Aesthetics Wiki and enables turning that knowledge into design tokens, Tailwind configs, and design briefs.

An MCP server that provides AI tools with deep understanding of WireUI v2.x components and comprehensive icon support for Heroicons and Phosphor Icons.

Provides expert design and marketing guidance for AI coding agents through curated knowledge documents and tools. Covers UI/UX, copywriting, SEO, GEO, and conversion optimization.

Provides deterministic, read-only design knowledge for AI coding agents to help them choose visual directions, plan UI states, and compose design tokens, all without network access.

MCP server that gives LLMs deep knowledge of design systems and tokens, enabling intelligent design evolution, token analysis, and designer-to-developer handoffs.

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.

Enables Google Antigravity to eliminate AI slop by harvesting real client intake, validating heading intent, auditing E-E-A-T entity graphs, building empirical comparison matrices, linting design anti-patterns, and applying human design archetypes.

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

Enables MCP clients to drive ArmorPaint 1.0 through a file-based bridge plugin, letting agents open projects, inspect and edit materials and node graphs, paint, and export textures on an unmodified ArmorPaint installation.

Enables AI agents to control and manipulate live 3D scenes across frameworks like Three.js, A-Frame, and Babylon.js using a comprehensive set of object and environment tools. It features an integrated in-world chat system that allows for real-time scene modifications directly from within the 3D canvas.

A design knowledge MCP server that Claude can query when generating UI, covering eight layers: principles, patterns, content design systems, research methods, service design, brand/visual, business strategy, and design tokens.

tdmcp is an open-source (MIT) Model Context Protocol server for TouchDesigner. You describe a visual in plain language and your AI assistant builds the real node network inside TouchDesigner, checks it for errors, and shows a preview — it ships an embedded operator knowledge base so the model uses real operators instead of guessing. TypeScript codebase, runs locally.

Converts Markdown content into beautifully designed knowledge cards with customizable styles and sizes. Also supports fetching and converting WeChat public account articles to Markdown.