"Secure Shell (SSH) Overview or Usage" matching MCP servers:

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.

Exposes CAD design tools (box, cylinder, shell, etc.) via MCP, allowing AI agents and clients like Claude to create and manipulate parametric CAD models in Autodesk Fusion or a simulator.

Enables AI agents to perform narrow, validated Fritzing engineering operations — searching parts, inspecting connectors, placing and moving components, wiring, validating, rendering, and saving projects — through a strictly sandboxed server that exposes no shell, arbitrary filesystem access, or direct Fritzing control, with lifecycle gating and a part trust model enforcing validation before render and save.

Typed DCC-MCP control for Marmoset Toolbag 4.03+ and 5.x, enabling shell-capable agents to interact with Toolbag scenes via a shared CLI and MCP gateway.

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.

Enables AI agents to query a design system's components, tokens, icons, patterns, and usage or accessibility guidelines through standardized MCP tools, with pluggable adapters for different data sources.

Enables AI clients to automate and inspect Adobe Photoshop, Premiere Pro, After Effects, and Illustrator through a secure, typed MCP surface with schema-validated operations, risk-classified plans, artifacts, and verification. Bridges translate safe domain commands into UXP, CEP, ExtendScript, or approved CLI work without exposing arbitrary scripts or shell access.

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.

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.

A deployable serverless MCP OAuth gateway and proxy that adds OAuth 2.0 authentication to Excalidraw tools or any external MCP server, enabling secure connections from clients like Google Spark and Gemini.

Enables coding agents building UI to fetch one to three real product screens answering a concrete layout, state, or interaction question, plus fonts, icons, and other licensed design materials when the local system lacks them. It also returns the recorded design system (overview, colors, typography, components, provenance) behind a chosen web screen, along with token-free skill resources, prompts, and connection diagnostics.

MCP server for creating and editing diagrams using draw.io. Allows generating diagrams from Mermaid or XML, searching shapes, and opening them in draw.io for export.

Search 161,000+ free hand-drawn Infyicon icons in four matching styles and fetch ready-to-embed SVG markup or PNG URLs, plus CSS class lookup for the 61,000-glyph Infyicon UI webfont. Free with attribution, no API key required.

Generate professional AI-powered presentations from a topic, raw text, or document file. Export to PPTX, PDF, image, or shareable link.

Enables agents to measure a live page or Figma frame against a reference design, reporting exact numerical deviations in layout, spacing, typography, colors, states, and animations before any baseline exists.

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.

An MCP server that enables AI assistants to search royalty-free stock photos using natural language, example images, or similarity, and render results as an inline thumbnail grid.

Exposes surface-bound annotations placed on a Blender model to AI agents, letting them read pending change requests with stable IDs, revisions, positions and visibility, then submit completion summaries by marker ID after editing. This enables batch, review-oriented workflows where the user approves or rejects each agent change in Blender, without requiring object selection, screenshots, or a fixed port bridge.

Enables AI agents to convert a self-contained HTML design into an editable Adobe InDesign (.idml) file, preserving text frames with paragraph styles, native tables, and vector shapes. Accepts raw HTML, a local .html file, or a hosted URL, and returns the converted file along with required fonts and a geometry check.