"Information about computer usage" matching MCP servers:

Enables agents to create and edit Figma text using fonts installed locally on the user's computer, without uploading font files, through a local MCP bridge and companion Figma Desktop plugin.

Exposes Levit design system (GDS) metadata to AI coding tools, enabling queries about color tokens and component usage via natural language.

Exposes information about Z-Image AI image generation and editing platform, including styles, pricing, and official links, for MCP-compatible AI clients.

This server enables AI to match Figma design nodes with React components from Storybook and generate usage code examples, facilitating design-to-code workflows.

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

A local MCP server that enables AI assistants to control ComfyUI on a computer for image generation via Operit on a mobile device.

Use Claude to control or ask questions about your Altium project.

Use Claude to control or ask questions about your Altium project.

MCP server for design tokens that gives AI agents read access to design systems, enabling token resolution, listing, and component usage lookups via natural language.

A Windows computer-control MCP server for the DeepSeek Harness plugin that lets an agent take screenshots, magnify the view for low-vision assistance, move and click the mouse, type and press keys, enumerate and focus windows, and switch input methods. It also bridges to Krita to drive drawing, pressure-curve, liquify, smudge, and brush operations.

MCP server providing AI assistants with comprehensive documentation about @deay/ui components, including props, examples, best practices, and Figma design specifications.

Exposes SigmaUI Design System components to AI assistants, providing tools for component documentation, search, usage examples, and design tokens to accelerate Vue 3 and Nuxt 3 UI development.

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.

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.

thicken turns photos of a real object into a GLB model at its real size and its metadata as JSON, read off the object by vision models and looked up in public catalogs. What it knows about each kind of object lives in a profile: a few come with thicken, and you can add your own.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

MCP server for RenderForm API, enabling automatic generation of images, PDFs, screenshots, and videos from templates, along with management of renders, templates, fonts, and organization usage.

MCP server that exposes the @bunge/ds-components design system catalog, allowing AI assistants to list, search, and retrieve component details including inputs, outputs, usage examples, and import instructions.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

Enables AI clients to search a library of 2,800+ science illustrations, fetch SVG content and metadata, and download icons locally, with category/license filtering and attribution information.