Framelink Figma MCP Server
by injunko
The Framelink Figma MCP Server gives coding agents access to Figma data, enabling them to implement designs in any framework in one-shot. It simplifies and translates Figma API responses to provide relevant layout and styling information to the model.
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What is Framelink Figma MCP Server?
This MCP server allows AI-powered coding tools like Cursor to access and understand Figma design data, enabling more accurate and efficient code generation from designs.
How to use Framelink Figma MCP Server?
- Open your IDE's chat (e.g. agent mode in Cursor). 2. Paste a link to a Figma file, frame, or group. 3. Ask the coding tool to do something with the Figma file—e.g. implement the design. 4. The tool will fetch the relevant metadata from Figma and use it to write your code. You'll need to configure the server in your IDE's configuration file using the provided JSON snippets and a Figma API key.
Key features of Framelink Figma MCP Server
Provides Figma design data to coding agents
Simplifies and translates Figma API responses
Designed for use with Cursor
Enables one-shot design implementation
Reduces context for more accurate AI responses
Use cases of Framelink Figma MCP Server
Generating code from Figma designs
Implementing UI designs in various frameworks
Improving the accuracy of AI-powered coding tools
Automating the design-to-code workflow
Integrating Figma designs with IDEs
FAQ from Framelink Figma MCP Server
What is a Figma API access token and how do I get one?
What is a Figma API access token and how do I get one?
A Figma API access token is a credential that allows you to access the Figma API. You can create one in your Figma account settings under 'Personal Access Tokens'.
Which AI coding tools are compatible with this server?
Which AI coding tools are compatible with this server?
This server is specifically designed for use with Cursor, but it may also work with other AI-powered coding tools that support the Model Context Protocol (MCP), such as Windsurf and Cline.
Why does this server simplify the Figma API response?
Why does this server simplify the Figma API response?
Simplifying the response reduces the amount of context provided to the model, which helps make the AI more accurate and the responses more relevant.
Where can I find more information about configuring the server?
Where can I find more information about configuring the server?
You can find more information on how to configure the Framelink Figma MCP server in the Framelink documentation: https://www.framelink.ai/docs/quickstart?utm_source=github&utm_medium=readme&utm_campaign=readme
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is a standard for providing context to AI models. It allows tools like Cursor to access external data sources, such as Figma, to improve their performance.