Figma to React Native logo

Figma to React Native

Community
kailashappdev

Extracts and analyzes components from Figma design files, enabling seamless integration between Figma designs and React Native development through component hierarchy processing and metadata generation.

Publisherkailashappdev
Repositoryfigma-mcp-toolkit
LanguageTypeScript
Forks
4
Stars
8
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Figma to React Native exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    8 stars and 4 forks from the linked repository.

Figma to React Native MCP

Convert Figma designs to React Native components using Cursor's MCP. This tool extracts components from your Figma designs and generates corresponding React Native components with proper typing and styling.

Installation

For Development

Add to your eas.json:

json
{
  "mcpServers": {
    "figma-to-code": {
      "command": "node",
      "args": ["PATH_TO_REPO/build/index.js"],
      "env": {
        "FIGMA_TOKEN": "your_figma_token",
        "FIGMA_FILE": "your_figma_file_id",
        "PROJECT_DIR": "your_project_directory"
      }
    }
  }
}

For End Users

Install the MCP server in your Cursor IDE:

bash
npx -y @smithery/cli@latest install @kailashg101/mcp-figma-to-code --client claude --config "{
  \"figmaToken\": \"YOUR_FIGMA_TOKEN\",
  \"figmaFile\": \"YOUR_FIGMA_FILE_ID\",
  \"projectDir\": \"YOUR_PROJECT_DIRECTORY\"
}"

Usage

After installation, you can use the following prompts in Cursor:

Extract All Components

using the extract_components mcp tool get all components from figma and generate their corresponding react native components in components folder

Extract Specific Component

using the extract_components mcp tool get the [ComponentName] component from figma and generate its corresponding react native component in components folder

Configuration

The config object accepts the following parameters:

typescript
{
  "figmaToken": string,    // Your Figma access token
  "figmaFile": string,     // Your Figma file ID (from the URL)
  "projectDir": string     // Where to generate the components
}

Features

Current:

  • ✅ Extract components from Figma
  • ✅ Generate React Native components
  • ✅ Maintain component hierarchy
  • ✅ Handle component props and types
  • ✅ Support nested components

Coming Soon:

  • 🚧 GraphQL schema generation

Development

To contribute or modify:

  1. Clone the repository
  2. Install dependencies:
bash
npm install
  1. Build:
bash
npm run build
  1. Run locally:
bash
npm start

Environment Variables

When running locally, you'll need these in your .env:

bash
FIGMA_TOKEN=your_figma_token
FIGMA_FILE=your_figma_file_id
PROJECT_DIR=your_project_directory

Error Handling

Common errors and solutions:

  • "Failed to create client": Check if all environment variables are properly set
  • "Components page not found": Ensure your Figma file has a page named "Components"
  • "Failed to fetch Figma file": Verify your Figma token and file ID

License

MIT


For issues and feature requests, please open an issue on GitHub.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "figma-to-code": {
      "command": "node",
      "args": [
        "PATH_TO_REPO/build/index.js"
      ],
      "env": {
        "FIGMA_TOKEN": "your_figma_token",
        "FIGMA_FILE": "your_figma_file_id",
        "PROJECT_DIR": "your_project_directory"
      }
    }
  }
}

Use Figma to React Native MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Figma to React Native is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Figma to React Native as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Figma to React Native MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "figma-to-react-native": {
      "command": "npx",
      "args": [
        "-y",
        "@kailashg101/mcp-figma-to-code"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Figma to React Native MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Figma to React Native MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Figma to React Native to help me with this task?
Figma to React Native
Sure. I read it.
Here is what I found using Figma to React Native.

Frequently asked questions

What is the Figma to React Native MCP server used for?

Figma to React Native is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Figma to React Native MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Figma to React Native with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Figma to React Native MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Figma to React Native connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Figma to React Native MCP to TypingMind?

Figma to React Native runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Figma to React Native MCP provide in TypingMind?

Figma to React Native exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Figma to React Native MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Figma to React Native requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

Related MCP Servers

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇