Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Give [Cursor](https://cursor.sh/) and other AI-powered coding tools access to your Figma files with this [Model Context Protocol](https://modelcontextprotocol.io/introduction) server.
When Cursor has access to Figma design data, it's **way** better at one-shotting designs accurately than alternative approaches like pasting screenshots.
## Demo
[Watch a demo of building a UI in Cursor with Figma design data](https://youtu.be/6G9yb-LrEqg)
[](https://youtu.be/6G9yb-LrEqg)
## How it works
1. Open your IDE's chat (e.g. agent mode in Cursor).
2. Paste a link to a Figma file, frame, or group.
3. Ask Cursor to do something with the Figma file—e.g. implement the design.
4. Cursor will fetch the relevant metadata from Figma and use it to write your code.
This MCP server is specifically designed for use with Cursor. Before responding with context from the [Figma API](https://www.figma.com/developers/api), it simplifies and translates the response so only the most relevant layout and styling information is provided to the model.
Reducing the amount of context provided to the model helps make the AI more accurate and the responses more relevant.
## Getting Started
Many code editors and other AI clients use a configuration file to manage MCP servers.
The \`figma-developer-mcp\` server can be configured by adding the following to your configuration file.
> NOTE: You will need to create a Figma access token to use this server. Instructions on how to create a Figma API access token can be found [here](https://help.figma.com/hc/en-us/articles/8085703771159-Manage-personal-access-tokens).
### MacOS / Linux
\`\`\`json
\{
"mcpServers": \{
"Framelink MCP for Figma": \{
"command": "npx",
"args": ["-y", "figma-developer-mcp", "--figma-api-key=YOUR-KEY", "--stdio"]
\}
\}
\}
\`\`\`
### Windows
\`\`\`json
\{
"mcpServers": \{
"Framelink MCP for Figma": \{
"command": "cmd",
"args": ["/c", "npx", "-y", "figma-developer-mcp", "--figma-api-key=YOUR-KEY", "--stdio"]
\}
\}
\}
\`\`\`
Or you can set \`FIGMA_API_KEY\` and \`PORT\` in the \`env\` field.
If you need more information on how to configure the Framelink MCP for Figma, see the [Framelink docs](https://www.framelink.ai/docs/quickstart?utm_source=github&utm_medium=referral&utm_campaign=readme).
## Star History
## Learn More
The Framelink MCP for Figma is simple but powerful. Get the most out of it by learning more at the [Framelink](https://framelink.ai?utm_source=github&utm_medium=referral&utm_campaign=readme) site.
The MCP Server is useful to download Figma Source File from a give design project URL. For example, I used the MCPs to download the give design Figma file and then run the get_figma_tool first and then run the download_figma_image tool. Then the Cursor helps download the images recursively to my local folder.
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