"Figma – Collaborative Design and Prototyping Tool" matching MCP servers:

Compares Figma frames to live pages, checking colors, fonts, and border radii, and generates a shareable HTML report.

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.

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

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.

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

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.

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.

Exposes iDRAC design-system knowledge via a single get_component tool, currently returning placeholder data for known components.

Enables Claude AI to extract design information from Figma files and create or update designs via a Figma plugin, supporting both readonly and write modes.

Enhanced Figma MCP Server that exposes prototype flow data — screen lists, prototype connections, and full flow maps — via the Figma REST API. Designed as a replacement for the official Figma MCP server, adding prototype interaction layer so Claude Code can understand entire user flows from a single Figma URL.

Enables offline reading and rendering of Figma .fig files, allowing AI agents to extract design specs, export assets, and generate code without needing the Figma API or network access.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Enables extraction of design context from Figma files as CSS-like properties and provides tools to render Figma nodes as images. It integrates with AI agents via the Model Context Protocol to facilitate design-to-code workflows by providing layout, style, and typography information.

Local MCP server exposing Figma REST API tools to AI agents, enabling file reads, comments, variables, and other resource operations. Works with personal access tokens and integrates with Claude, Cursor, Codex, and more.

Bridges AI clients to Figma Desktop via Plugin API and WebSocket, enabling real-time design manipulation without rate limits.

Enables integrating Figma with AI assistants like Claude Desktop and Gemini CLI for accessing and managing Figma design files.

Figma MCP with full API functionality

Enables stdio MCP clients such as Cursor and Claude Code to read and modify the currently open Figma Desktop file, export selected nodes as local PNG/SVG files, and create or edit basic canvas nodes using precise layout data for pixel-level reconstruction.

Provides source-backed design context, route card validation, contract generation, critique and verification reports, evidence packages, Penpot change plans, and anti-repeat checks for design workflows. Does not directly mutate Penpot, but consumes read-only Penpot snapshots.