"Categorizing messages such as emails or system logs" 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.

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.

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.

Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.

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.

Transforms HTML into Figma designs using only the user’s design system, ensuring correct component usage or safe fallback to primitives, while continuously learning from each build to improve mapping accuracy and consistency.

Bidirectional MCP bridge enabling AI assistants to draw UI on Figma canvas and read designs back as structured data or code tokens via localhost, requiring Figma Desktop.

Enables MCP hosts to render OpenUI artifacts (inline or sidecar) for agent-generated UI components such as cards, dashboards, forms, and charts, with validation, versioning, and security controls.

Enables LLM workflows to inspect SVG structure and add SMIL animations such as translation, rotation, scale, opacity, path morphs, and stroke-dashoffset. It returns both animated and static SVG versions for reduced-motion accessibility.

Renders architectural floor plans and site plans as SVG in blueprint or whiteprint styles, following real drawing conventions with precise geometry.

Searches design platforms for UI references and extracts design tokens such as colors, typography, spacing, and shadows from live websites.

Enables frontend developers to read Moonvy design files, extract page lists, layer trees, node styles, design tokens, and download assets such as cutouts and snapshots for precise frontend implementation.

Design system MCP server. 20 tools: extract design tokens from any URL, pull from Figma or Penpot, generate React + shadcn/ui components from specs, run WCAG audits, sync tokens bidirectionally.