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A Model Context Protocol (MCP) that allows Claude Desktop and other AI tools (Claude Code, Cursor, Antigravity, etc.) to read, analyze, and modify Figma designs
GitHub checked 2m ago

Enable your AI agents to read, analyze, and modify Figma designs.
Works with your favorite agentic tools:
Automate repetitive design tasks and maintain brand consistency without manual effort:
Generate production-ready code directly from designs:
Key advantage: Unlike Figma's official MCP which requires a Dev Mode license, this MCP works with any Figma account (even free ones).
Accessibility:
"Find all text with contrast ratio <4.5:1 and suggest colors that meet WCAG AA"
Rebranding:
"Change #FF6B6B to #E63946 in all primary buttons throughout the document"
Design analysis:
"Analyze the visual hierarchy of this screen and suggest improvements based on design principles"
Developer handoff:
"Generate the React component for 'CardProduct' including PropTypes and styles in CSS modules"
Setup: 5 minutes | First automation: 2 minutes
Enables the Agent to send commands to Figma.
Open your terminal, navigate to the folder where you want to install the tool, and run:
npx claude-talk-to-figma-mcp
💡 Tip: This command is an "all-in-one" (clones, installs, and starts). In subsequent sessions, if you're already inside the project folder
your-project/claude-talk-to-figma-mcp, you can simply runbun run socket.
Enables Figma to receive commands from the agent and return responses.
In Figma Desktop go to Menu → Plugins → Development → Import plugin from manifest → inside the folder where you installed the MCP, select src/claude_mcp_plugin/manifest.json
Enables the agent to use the MCP's read and modify tools.
Download claude-talk-to-figma-mcp.dxt (from Assets section of the latest release) and double-click. Claude configures itself automatically.
mcp.json file{
"mcpServers": {
"ClaudeTalkToFigma": {
"command": "npx",
"args": ["-p", "claude-talk-to-figma-mcp@latest", "claude-talk-to-figma-mcp-server"]
}
}
}
For other tools (Claude Code, Windsurf, VS Code + GitHub Copilot, Cline, Roo Code), you can follow the instructions in the "Configure your Agentic Tool" chapter of the detailed installation guide.
Connect to Figma, channel {your-ID}✅ Ready to design with AI!
To use the MCP again in day-to-day work, you don't need to repeat the entire process:
your-project/claude-talk-to-figma-mcp and run bun run socket (or npm run socket).Connect to Figma, channel {your-ID}.This MCP server supports safe parallel execution out of the box, allowing multiple AI agents (e.g. Claude Code's sub-agents or team swarms) to work simultaneously on your Figma file without locking up the plugin. A built-in command queue processes requests sequentially on the server side, preventing the Figma API from timing out.
Note: Because multiple agents can modify the document simultaneously, relying on implicit page context is unsafe. As a result, stateful commands like
set_current_pageare blocked. All agents must explicitly provide the intendedparentIdparameter when executing any creation or structural modification command (e.g.,create_frame,create_text).
(Special thanks to @mmabas77 for architecting and contributing this feature!)
If you prefer Docker or need to run the WebSocket server in a team environment, see the Docker installation guide in the detailed installation documentation.
Design analysis
Element creation
Modification
Based on cursor-talk-to-figma-mcp by Sonny Lazuardi. Adapted for Claude Desktop and extended with new tools by Xúlio Zé.
If you want to know about all project contributions, you can visit the "Contributors" chapter of the contribution guide.
✅ Stable production - Tool ready for daily use in design and development teams
🚀 Under active development:
Propose new ones on GitHub Issues
Your feedback and contributions keep the project alive. ❤️
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Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). Connect directly and complete any provider authentication separately; this is not platform-key access.
Tool
OS
Config file: ~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server": {
"url": "{MCP_ENDPOINT_URL}"
}
}
}Paste into mcpServers in the config file. Restart Cursor after saving.
If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.