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LucasGorgal/localfig

by Various

The Figma desktop app as an MCP server. Gives AI agents the full Figma Plugin API on your open file: read, write, tokens, components, exports, undo. Runs locally with no cloud API,

MCP

LucasGorgal/localfig

Added 16 Sept 2026

#ai-agents#figma#figma-mcp#figma-plugin#figmadesign#mcp#model-context-protocol
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Turns the Figma desktop app into a local MCP server, exposing the full Figma Plugin API to AI agents. It reads and writes the open file, including tokens, components, exports, and undo, without a cloud API, token, or quota. One command registers it with Claude Code, Cursor, VS Code, Windsurf, Cline, Gemini CLI, Codex, and other MCP clients.

Best for

Best for
Developers who want to give AI coding agents direct, local control over their active Figma files.

Use cases

  • Read and write design tokens in the open Figma file
  • Create or modify components programmatically from an AI agent
  • Export assets and trigger undo operations via the Plugin API

How to use

Install

npx -y localfig --setup

Tools exposed

  • figma_status
  • figma_eval
  • figma_metadata
  • figma_tokens
  • figma_find
  • figma_changes
  • figma_history
  • figma_library
  • figma_export
  • figma_place_image
  • LOCALFIG_HOME
  • LOCALFIG_PORT
  • LOCALFIG_OUT

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code

Example client config

{
  "mcpServers": {
    "localfig": {
      "command": "npx",
      "args": [
        "-y",
        "localfig"
      ]
    }
  }
}

Notes

0 stars on GitHub. Last updated 2026-09-16. Licensed MIT.

Pros

  • Runs fully local with no cloud API, token, or quota
  • Zero dependencies and one-command setup for major AI coding tools
  • Exposes the complete Figma Plugin API, not a limited subset

Cons

  • Requires the Figma desktop app to be running with the target file open
  • Limited to the local machine and the currently open file, no cloud collaboration
  • No community traction yet (0 stars), so maturity is unproven

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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