figma-mcp
Allows AI coding agents to access Figma files and prototypes directly, enabling interaction with Figma design data.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@figma-mcpget the design tokens from the main Figma file"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Figma MCP Python
Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993
Quick Installation with pipx
pipx install figma-mcpFor Cursor:
In settings, add an MCP server using the command:
figma-mcp --figma-api-key=your_figma_keyOR Add a
.cursor/mcp.jsonfile 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"
]
}
}
}Related MCP server: Framelink Figma MCP Server
Install uv and set up the environment
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv
source .venv/bin/activate
uv syncTest locally
python -m figma_mcp.mainThis server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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