Anima MCP Server

平台与服务

by animaapp

将 AI coding agents 连接到 Anima Playground、Figma 和你的 design system,打通设计到开发的协作流程。

什么是 Anima MCP Server

将 AI coding agents 连接到 Anima Playground、Figma 和你的 design system,打通设计到开发的协作流程。

README

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.

Quick start: Claude Code plugin

code
/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.

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

  1. Open your terminal (not inside Claude Code) and run:
bash
claude mcp add --transport http anima https://public-api.animaapp.com/v1/mcp
  1. Restart Claude Code
  2. Enter /mcp to open the MCP menu
  3. Select Anima and authenticate. This opens a browser window to sign in with your Anima account.
  4. (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.

OpenAI Codex

  1. Open your terminal and run:
bash
codex mcp add anima --url https://public-api.animaapp.com/v1/mcp

Or add it directly to your ~/.codex/config.toml:

toml
[mcp_servers.anima]
url = "https://public-api.animaapp.com/v1/mcp"
  1. Restart Codex
  2. Authenticate when prompted

To install the Anima skill (recommended):

bash
codex skill install AnimaApp/mcp-server-guide/skills/anima

For more information, see OpenAI's Codex MCP documentation.

VS Code

  1. Use the shortcut Cmd Shift P (Mac) or Ctrl Shift P (Windows) to search for MCP:Add Server
  2. Select HTTP
  3. Paste the server URL: https://public-api.animaapp.com/v1/mcp
  4. When prompted for a server ID, enter anima
  5. Select whether to add this server globally or only for the current workspace

Your mcp.json will look like:

json
{
  "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

  1. Open Cursor > Settings > Cursor Settings
  2. Go to the MCP tab
  3. Click + Add new global MCP server
  4. Enter the following configuration and save:
json
{
  "mcpServers": {
    "anima": {
      "url": "https://public-api.animaapp.com/v1/mcp"
    }
  }
}
  1. After saving, you'll see "anima" appear under Installed MCP Servers with "Needs authentication"
  2. Click Connect to authenticate. This opens a browser window to sign in with your Anima account.
  3. (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:

json
{
  "mcpServers": {
    "anima": {
      "url": "https://public-api.animaapp.com/v1/mcp"
    }
  }
}

Step 2: Authenticate

After adding the MCP server, authenticate with your Anima account:

  1. Your MCP client will prompt you to authenticate
  2. A browser window opens to sign in with your Anima account
  3. (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:

  1. AI downloads the playground project
  2. AI reads relevant files and understands patterns
  3. 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

  1. Try removing and re-adding the MCP server
  2. Clear your browser cookies for animaapp.com
  3. 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:

  1. "First, implement just the header component"
  2. "Now implement the card grid layout"
  3. "Finally, add the footer"

This helps keep implementations focused and accurate.

Additional resources

常见问题

Anima MCP Server 是什么?

将 AI coding agents 连接到 Anima Playground、Figma 和你的 design system,打通设计到开发的协作流程。

相关 Skills

MCP构建

by anthropics

Universal
热门

聚焦高质量 MCP Server 开发,覆盖协议研究、工具设计、错误处理与传输选型,适合用 FastMCP 或 MCP SDK 对接外部 API、封装服务能力。

想让 LLM 稳定调用外部 API,就用 MCP构建:从 Python 到 Node 都有成熟指引,帮你更快做出高质量 MCP 服务器。

平台与服务
未扫描114.1k

Slack动图

by anthropics

Universal
热门

面向Slack的动图制作Skill,内置emoji/消息GIF的尺寸、帧率和色彩约束、校验与优化流程,适合把创意或上传图片快速做成可直接发送的Slack动画。

帮你快速做出适配 Slack 的动图,内置约束规则和校验工具,少踩上传与播放坑,做表情包和演示都更省心。

平台与服务
未扫描114.1k

MCP服务构建器

by alirezarezvani

Universal
热门

从 OpenAPI 一键生成 Python/TypeScript MCP server 脚手架,并校验 tool schema、命名规范与版本兼容性,适合把现有 REST API 快速发布成可生产演进的 MCP 服务。

帮你快速搭建 MCP 服务与后端 API,脚手架完善、扩展顺手,尤其适合想高效验证服务能力的开发者。

平台与服务
未扫描10.2k

相关 MCP Server

Slack 消息

编辑精选

by Anthropic

热门

Slack 是让 AI 助手直接读写你的 Slack 频道和消息的 MCP 服务器。

这个服务器解决了团队协作中需要 AI 实时获取 Slack 信息的痛点,特别适合开发团队让 Claude 帮忙汇总频道讨论或发送通知。不过,它目前只是参考实现,文档有限,不建议在生产环境直接使用——更适合开发者学习 MCP 如何集成第三方服务。

平台与服务
83.4k

by netdata

热门

io.github.netdata/mcp-server 是让 AI 助手实时监控服务器指标和日志的 MCP 服务器。

这个工具解决了运维人员需要手动检查系统状态的痛点,最适合 DevOps 团队让 Claude 自动分析性能数据。不过,它依赖 NetData 的现有部署,如果你没用过这个监控平台,得先花时间配置。

平台与服务
78.4k

by d4vinci

热门

Scrapling MCP Server 是专为现代网页设计的智能爬虫工具,支持绕过 Cloudflare 等反爬机制。

这个工具解决了爬取动态网页和反爬网站时的头疼问题,特别适合需要批量采集电商价格或新闻数据的开发者。不过,它依赖外部浏览器引擎,资源消耗较大,不适合轻量级任务。

平台与服务
35.4k

评论