figwright vs fastapi_mcp
figwright: Figwright enables AI agents to interact with Figma bi-directionally, allowing them to read design selections into framework-aware code and directly author/edit the canvas. It operates via a local WebSocket relay between an MCP server and a Figma plugin, making it accessible without a Figma Dev Mode seat or paid tier.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.
TL;DR
Generate framework-aware code (e.g., React components) directly from Figma selections.
- You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
- You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
- You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
- You need an actively updated repository (last push was November 2025).
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