"knowledge" 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.

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.

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.

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

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.

Enables AI assistants to read Lanhu design collaboration content: extracting and analyzing Axure prototype pages, downloading UI designs and slices, and converting design specs into HTML+CSS for implementation. It also provides a shared team message board so multiple AI tools can reuse requirement analyses and knowledge across projects.

Provides tools and resources for interacting with xTool laser machines, enabling material settings recommendations, design generation, troubleshooting, and machine knowledge through natural language.

Connects AI assistants to Lanhu design collaboration platform for analyzing Axure prototypes, downloading UI designs, and enabling team knowledge sharing through a collaborative message board that breaks AI IDE silos.

Enables AI agents to act as game artists by creating and iterating on game art through MCP tools backed by a knowledge base and genre templates, with a local studio for review, feedback, versioning, and export of engine-ready assets.

Enables AI assistants to connect to the Lanhu design collaboration platform, allowing them to analyze requirement documents, inspect UI designs with detailed parameters, download design slices, and share team knowledge through a collaborative message board.

Enables Figma-to-Code workflows by retrieving and calibrating real-world components from Figma designs, screenshots, and a component knowledge base, outputting component contracts and preview implementations.