"Figma - A Collaborative Design and Prototyping Tool" matching MCP servers:

Enables interaction with Figma designs through the Figma API, allowing users to export images in multiple formats, extract style data and CSS, analyze design elements, and retrieve SVG code from Figma files. Supports batch operations and comprehensive design element analysis including images, vectors, and components.

Enables AI assistants to interact with Figma designs programmatically, supporting comprehensive design automation including text manipulation with formatting preservation, batch operations, prototyping, auto-layout configuration, and component management.

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

Model Context Protocol server that bridges design and development, giving AI assistants complete access to Figma for extraction, creation, debugging, and bidirectional token sync.

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

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.

Enables AI assistants to control Figma in real-time through Model Context Protocol, allowing design creation, editing, and reading operations directly from VS Code.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

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 high-craft web design and engineering through OKLCH color systems, fluid typography, Three.js 3D scenes, frontend security audits, multi-viewport capture, and Python-backed design verification.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

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.

Enables interaction with Figma files through intelligent API access, providing navigation, asset extraction, and design token retrieval with 95% token-optimized compact tree output format.

Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993 1. Access all figma pages 2. Access all figma components 3. Access figma prototype flows

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.

A local stdio MCP server that enables AI coding tools to search and retrieve reusable interactive and motion design parts from a design-notes library, returning each part's notes, anchors, extracted parameters, and the absolute path to its self-contained index.html source. It also serves the original README provenance and source URLs for a given note.

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.

Enables Codex and other MCP clients to read design context from Figma Desktop via a local bridge, providing design tokens, component trees, and screenshots without an API token.

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.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.