Anima MCP Server
Connect AI coding agents to Anima Playground, Figma designs, and your team's design system. Bridge the gap between prototypes and production code.
Anima MCP Server Guide
The Anima MCP server connects your AI coding assistant directly to Anima Playground, Figma designs, and your team's design system. It bridges the gap between PM prototypes and production code.
For the complete set of Anima MCP server docs, see our help documentation.
Features
-
Handoff Anima playgrounds to coding agents
Pull code from any Anima Playground into your local environment. The AI downloads the project, reads relevant files, understands patterns, and implements an adapted version in your codebase.
-
Figma to code
Convert Figma designs directly to code through your AI coding agent with high fidelity. Your agent uses Anima MCP to fetch the design and generate production-ready code.
-
Design system access (Enterprise)
Reference your team's design system directly when implementing features. The AI pulls your design system docs and builds using your team's established components and patterns.
Installation & Setup
Requirements
- MCP-compatible AI coding tool: Claude Code, Cursor, VS Code, or other tools that support the Model Context Protocol
- Anima account: You need access to Anima Playground to share and download projects
Step 1: Set up your MCP client
Different MCP clients require slightly different setups. Follow the instructions below for your specific client.
Claude Code
- Open your terminal (not inside Claude Code) and run:
claude mcp add --transport http anima https://public-api.animaapp.com/v1/mcp
- Restart Claude Code
- Enter
/mcpto open the MCP menu - Select Anima and authenticate. This opens a browser window to sign in with your Anima account.
- (Optional) Connect your Figma account during authentication to enable the Figma URL flow
Use these commands to manage servers:
- List all configured servers:
claude mcp list - Get details for a specific server:
claude mcp get anima - Remove a server:
claude mcp remove anima
For more information, see Anthropic's official documentation.
VS Code
- Use the shortcut
Cmd Shift P(Mac) orCtrl Shift P(Windows) to search forMCP:Add Server - Select
HTTP - Paste the server URL:
https://public-api.animaapp.com/v1/mcp - When prompted for a server ID, enter
anima - Select whether to add this server globally or only for the current workspace
Your mcp.json will look like:
{
"servers": {
"anima": {
"type": "http",
"url": "https://public-api.animaapp.com/v1/mcp"
}
}
}
[!NOTE] You must have GitHub Copilot enabled on your account to use MCP in VS Code.
For more information, see VS Code's official documentation.
Cursor
- Open Cursor > Settings > Cursor Settings
- Go to the MCP tab
- Click + Add new global MCP server
- Enter the following configuration and save:
{
"mcpServers": {
"anima": {
"url": "https://public-api.animaapp.com/v1/mcp"
}
}
}
- After saving, you'll see "anima" appear under Installed MCP Servers with "Needs authentication"
- Click Connect to authenticate. This opens a browser window to sign in with your Anima account.
- (Optional) Connect your Figma account during authentication to enable the Figma URL flow
For more information, see Cursor's official documentation.
Other editors
Other code editors and tools that support Streamable HTTP can also connect to the Anima MCP server.
If you're using a different editor or tool, check its documentation to confirm it supports Streamable HTTP based communication. If it does, you can manually add the Anima MCP server using this configuration:
{
"mcpServers": {
"anima": {
"url": "https://public-api.animaapp.com/v1/mcp"
}
}
}
Step 2: Authenticate
After adding the MCP server, authenticate with your Anima account:
- Your MCP client will prompt you to authenticate
- A browser window opens to sign in with your Anima account
- (Optional) Connect your Figma account during authentication to enable the Figma URL flow
Prompting your MCP client
Once connected, you can prompt your MCP client to access Anima Playground projects and Figma designs.
Handoff from Anima Playground
Copy the link to an Anima Playground and prompt your agent:
"Implement the welcome screen from this playground: https://dev.animaapp.com/chat/xyz"
What happens:
- AI downloads the playground project
- AI reads relevant files and understands patterns
- AI implements an adapted version in your codebase
[!TIP] Be specific about which feature you want. The AI will find the relevant files and adapt the code to fit your project's patterns.
Figma to code
Copy a Figma design link and prompt your agent:
"Implement this Figma design using Anima MCP: https://figma.com/design/..."
Your AI agent will use Anima MCP to fetch the design and generate production-ready code in your codebase.
Design system access (Enterprise)
Reference your team's design system directly when implementing features:
"Implement a login form following our design system, use Anima MCP and figma url: ..."
The AI pulls your design system docs and builds using your team's established components and patterns.
Getting started: Design system setup is done with our team. Contact us to get it configured.
Troubleshooting
Can't access playground
Make sure you have access to the playground. Private playgrounds require team membership or direct sharing.
MCP not recognized
Verify that Anima MCP is properly installed and configured in your AI coding tool. Check that your Anima authentication is set up correctly.
Authentication issues
- Try removing and re-adding the MCP server
- Clear your browser cookies for animaapp.com
- Restart your MCP client
Best practices
Be specific in your prompts
Instead of: "Implement this playground" Try: "Implement the login form component from this playground, using my existing Button and Input components"
Reference existing patterns
When implementing from Anima, tell the AI about your codebase patterns:
"Implement this design using our existing components from src/components/ui and follow our Tailwind styling patterns"
Break down large designs
For complex playgrounds or Figma files, request specific sections:
- "First, implement just the header component"
- "Now implement the card grid layout"
- "Finally, add the footer"
This helps keep implementations focused and accurate.
Additional resources
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