Bridges design handoff and implementation by connecting your AI coding agent to Anima Playground projects, Figma designs, and team design systems. Exposes operations to download Anima playgrounds (reading project files and patterns), convert Figma designs to code with high fidelity, and pull design system documentation for enterprises. Uses streamable HTTP transport and handles authentication through your Anima account, with optional Figma connection. Reach for this when you're implementing UI from prototypes or design files and want your agent to understand both the design artifacts and your team's component patterns. Works across Claude Code, Cursor, VS Code with Copilot, and other MCP clients that support HTTP transport.
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.
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.
/plugin marketplace add AnimaApp/mcp-server-guide
/plugin install anima@mcp-server-guide
This installs the Anima plugin, which auto-configures the MCP server and adds the Anima skill. Authenticate when prompted. That's it.
For other editors (VS Code, Cursor), see the manual setup below.
Different MCP clients require slightly different setups. Follow the instructions below for your specific client.
claude mcp add --transport http anima https://public-api.animaapp.com/v1/mcp
/mcp to open the MCP menuUse these commands to manage servers:
claude mcp listclaude mcp get animaclaude mcp remove animaFor more information, see Anthropic's official documentation.
codex mcp add anima --url https://public-api.animaapp.com/v1/mcp
Or add it directly to your ~/.codex/config.toml:
[mcp_servers.anima]
url = "https://public-api.animaapp.com/v1/mcp"
To install the Anima skill (recommended):
codex skill install AnimaApp/mcp-server-guide/skills/anima
For more information, see OpenAI's Codex MCP documentation.
Cmd Shift P (Mac) or Ctrl Shift P (Windows) to search for MCP:Add ServerHTTPhttps://public-api.animaapp.com/v1/mcpanimaYour 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.
{
"mcpServers": {
"anima": {
"url": "https://public-api.animaapp.com/v1/mcp"
}
}
}
For more information, see Cursor's official documentation.
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"
}
}
}
After adding the MCP server, authenticate with your Anima account:
Once connected, you can prompt your MCP client to access Anima Playground projects and Figma designs.
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:
[!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.
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.
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.
Make sure you have access to the playground. Private playgrounds require team membership or direct sharing.
Verify that Anima MCP is properly installed and configured in your AI coding tool. Check that your Anima authentication is set up correctly.
Instead of: "Implement this playground" Try: "Implement the login form component from this playground, using my existing Button and Input components"
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"
For complex playgrounds or Figma files, request specific sections:
This helps keep implementations focused and accurate.
miapre/html-to-figma-design-system
ie3jp/illustrator-mcp-server
coding-solo/godot-mcp
ivanmurzak/unity-mcp
yctimlin/mcp_excalidraw
figma/mcp-server-guide