Best for
- Developers who want to quickly translate Figma designs into Flutter code
- Users of AI coding tools like Cursor
- MVPs and small-scale projects
- Extracting theme colors and typography from designs
This server provides Figma data to AI coding agents via MCP to help generate Flutter code. It requires a Figma API key and works with supported clients like Cursor. While it doesn't generate code files directly, it supplies essential design information to the AI.
Strongest · Documentation 16/20 Weakest · Reliability 10/20
Static review · not runListed 2026-08-07
Read the FMRS scoring method →Runtime:Node.js 18+
FIGMA_API_KEY
A Figma personal access token created in your Figma account settings (used in the .env file for local HTTP testing).
{
"mcpServers": {
"Figma Flutter MCP": {
"command": "npx",
"args": [
"-y",
"figma-flutter-mcp",
"--figma-api-key=YOUR-API-KEY",
"--stdio"
]
}
}
}
Shown for Cursor. Other clients may use a different file or key (VS Code uses "servers") — the configurator below converts it.
{
"servers": {
"Figma Flutter MCP": {
"command": "npx",
"args": [
"-y",
"figma-flutter-mcp",
"--figma-api-key=YOUR-API-KEY",
"--stdio"
]
}
}
}
Goes in your project's .vscode/mcp.json (VS Code uses a "servers" key).
claude mcp add 'Figma Flutter MCP' -- npx -y figma-flutter-mcp --figma-api-key=YOUR-API-KEY --stdio
Run it in a terminal; replace any <…> placeholders with your own values first.
After adding the MCP config in Cursor's MCP settings, check the tool list for extract_figma_components and extract_figma_screens; alternatively paste a Figma link and ask to extract a component — returned layout and color data confirms the connection.
Once connected, you can ask your AI assistant things like:
No matching tools
Listed from the project's documentation, not tested by this site.
The Figma Flutter MCP Server is an MCP server that provides coding agents (like Cursor) with Figma's design tokens to generate Flutter code. It extracts Figma node data (layout, styling, dimensions, colors, text content, etc.), analyzes component structures and screen metadata, and provides guidance for AI to implement designs in a Flutter-native way. It does not generate actual Flutter code files but gives suggestions for widgets and screen structures.
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Source revision 175c0427eca8 Data synced 2026-10-12 Read the FMRS scoring method