Write to Figma from any MCP client (Claude Code, Cursor). Complements the read-only official MCP.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"genable": {
"args": [
"-y",
"genable-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Write to Figma from any MCP client (Claude Code, Cursor). Complements the read-only official MCP.
No automated test available for this server. Check the GitHub README for setup instructions.
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Hand off the design busywork. Detailed prompt in. Fully editable Figma layers out — components typed, variables bound, variants generated, pages laid out.
Most AI design tools ship a flat image or a templated mock. Genable is agentic — it plans, executes against Figma's scene graph through typed tools, and verifies its work. The output is real, editable Figma layers, not screenshots.
Use Genable as a Figma plugin (designers) or as the genable-mcp MCP server (Claude Code, Cursor, Cline, Continue, Zed, or any MCP-compatible agent). Same engine, same 41 tools.
Install from Figma Community →
Plugins → Genable.For agent-driven workflows. Pair with the official Figma MCP for full read + write.
{
"mcpServers": {
"genable": { "command": "npx", "args": ["-y", "genable-mcp"] }
}
}
41 tools — JSX tree creation, variables, components, cross-page navigation, visual verification. Full docs on npm →
Genable speaks three protocols natively. Pick whichever you have keys for — keys stay on your device.
| Protocol | Examples | Get a key |
|---|---|---|
| Google Gemini | Gemini 2.5 Pro / Flash | aistudio.google.com |
| Anthropic Claude | Claude 4.7 Sonnet / Opus | console.anthropic.com |
| OpenAI-compatible | OpenRouter, DashScope (Qwen), Kimi K2.5, custom endpoints | varies |
Switch models any time from the Settings panel.
Detail helps. Try prompts like: