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Figma MCP Python

Access Figma files and prototypes directly from your AI coding agents. Streamline your design workflow by integrating Figma with your development environment. Enhance your projects with seamless access to design assets and prototypes.

Installation

Installing for Claude Desktop

Option 1: One-Command Installation

npx mcpbar@latest install JayZeeDesign/figma-mcp -c claude

This command will automatically install and configure the Figma MCP Python MCP server for your selected client.

Option 2: Manual Configuration

Run the command below to open your configuration file:

npx mcpbar@latest edit -c claude

After opening your configuration file, copy and paste this configuration:

View JSON configuration
{
  "mcpServers": {
    "Figma MCP Python": {
      "command": "figma-mcp",
      "args": [
        "--figma-api-key=your_figma_key"
      ]
    }
  }
}

Figma MCP Python

PyPI version

Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993

figma-mcp MCP server

Quick Installation with pipx

pipx install figma-mcp

For Cursor:

  1. In settings, add an MCP server using the command:
figma-mcp --figma-api-key=your_figma_key
  1. OR Add a .cursor/mcp.json file in your project:
{
  "mcpServers": {
    "figma-python": {
      "command": "figma-mcp",
      "args": [
        "--figma-api-key=your_figma_key"
      ]
    } 
  }
}

For other IDEs like Windsurf, use an MCP configuration file (e.g., mcp_config.json):

{
  "mcpServers": {
    "figma-python": {
      "command": "figma-mcp",
      "args": [
        "--figma-api-key=your_figma_key"
      ]
    } 
  }
}

Install uv and set up the environment

curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv
source .venv/bin/activate
uv sync

Test locally

python -m figma_mcp.main
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Figma MCP Python: MCP Server – MCP.Bar