"Servers for creating UI in Figma using MCP" matching MCP servers:

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 clients to read design structure, take screenshots, create nodes, and edit UI directly on Figma canvas via a bridge between MCP and Figma Desktop.

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.

Local MCP bridge that exposes the ChatGPT Figma connector to OpenCode without launching Codex, using the existing authenticated session.

Search, inspect and install the 21 free MIT components of Marvelous UI (framework-agnostic Web Components and CSS) and their design tokens into a project. Runs locally over stdio with no network calls.

A local, high-performance replacement for the hosted Figma MCP server that caches Figma files and exposes a local MCP endpoint for Cursor or any MCP client.

Imports public websites and extracts UI components and design tokens, making them available via MCP for AI coding agents to reuse in implementations.

Enables AI-driven UI/UX design and prototyping in Figma by letting agents generate AutoLayout screens, modify canvas elements, and wire interactive prototype flows through natural language.

Provides Figma design context to AI agents, enabling code generation, design system integration, and canvas manipulation through MCP.

MCP server for the NS UI React component registry. Search components, inspect source and details, list categories, get install commands, and retrieve design-token conventions.

Model Context Protocol integration for the Figma API, enabling AI applications to access Figma files, components, and design tokens.

Native Claude Code integration for @annondeveloper/ui-kit — a zero-dependency React component library with 147 components, 3 weight tiers, physics-based animations, and OKLCH color system. Gives Claude deep awareness of the library's components, design patterns, and conventions. Includes 5 skills for component discovery, code generation, design system reference, tier selection, and accessibility

Enables AI coding assistants to draw UI directly on a Figma Desktop canvas and read existing designs back as structured JSON, tokens, CSS, and screenshots, all over a localhost bridge without external API keys.

MCP server for the Figma API. Lets AI agents fetch designs, nodes, and rendered images from Figma.

Enables AI assistants to generate production-ready, professional UI design systems and components from simple descriptions, with real images, animated components, and automated quality checks.

Enables AI agents to read and draw on Figma canvas safely, with built-in safeguards for layout, overlays, and verification.

MCP server for the coss ui design system, enabling AI agents to fetch components, props, and design tokens on demand for accurate, low-cost code generation.

Enables listing top-level frames in a Figma file and fetching a selected frame's rendered PNG, node JSON, and image-fill map into a local output directory.

Pull a Figma frame once, then let Claude Code, Codex or any MCP agent read it offline with no rate limits. Six read-only tools serve the normalized node tree, design tokens and locally built SVG icons from a vault you can commit, so teammates need no Figma token.

Provides read-only Figma design data to AI agents via MCP, supporting local .fig files and browser-based figma.com access without plugins or API tokens.