figma-mcp-bridge vs python-sdk
figma-mcp-bridge: Figma MCP Bridge is a plugin and MCP server solution that streams live Figma document data to AI tools, effectively bypassing Figma API rate limits for free users. It supports simultaneous connections to multiple Figma files and includes opt-in write tools for agent-driven design edits.; python-sdk: The MCP Python SDK provides a robust implementation of the Model Context Protocol, enabling developers to build secure, standardized servers that expose data and functionality to LLM applications. It also includes a client library for connecting to any MCP server, supporting various standard transports like stdio, Streamable HTTP, and SSE.
TL;DR
Enable AI agents to query and understand live Figma design context.
- You want the official, MIT-licensed reference Python SDK maintained directly by the Model Context Protocol project.
- You need full low-level control over MCP primitives (resources, prompts, tools, sampling) and standard transports (stdio, SSE, Streamable HTTP).
- You want higher-level conveniences like automatic client composition or less decorator boilerplate; FastMCP wraps the protocol with extra ergonomics.
- You are exposing an existing GraphQL or FastAPI backend where a gateway or adapter (Grafbase or FastAPI-MCP) requires no manual tool code.
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