原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Anima MCP Server

作者:AnimaApp版本 1.0.0i★ –i在云端运行
注册名称io.github.AnimaApp/anima

安装

概览

作者提供的说明(英文原文)

Connect AI coding agents to Anima Playground, Figma, and your design system.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 设计、图片与音频

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://public-api.animaapp.com/v1/mcp

在终端中运行这条命令

claude mcp add --transport http anima https://public-api.animaapp.com/v1/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "anima": {
      "type": "http",
      "url": "https://public-api.animaapp.com/v1/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://public-api.animaapp.com/v1/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 AnimaApp 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2186 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2186 个服务器的 1% 更新
  • 基础检查结果等于或优于此分类中其他 2186 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Anima MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于9个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者:GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Agent Grid MCP Server Guide

Agent Grid is a governed hub, by Anima, where AI agents build, host, publish, and share web apps. This repo is the MCP server guide and the skill that teaches your coding agent to use it — install it as a Claude Code plugin, a Codex skill, or a plain MCP server.

Agent Grid lives at [app.agentgrid.io](https://app.agentgrid.io/). For the full docs, see our help documentation.

What your agent can do

  • Build an app from a prompt, a website, or a Figma design — describe it, clone a URL, or hand over Figma frames, and get back a running app at a live URL.
  • Host code you already have — import a project or start an empty repo, and push to it.
  • Edit any artifact over git — every artifact is a real git repository; clone, commit, push.
  • Publish to a live public URL — and take it down again.
  • Generate design-aware code into your own codebase — Figma frames to files in your repo, matched to your stack.

Everything is an artifact: one git repo in your team's workspace, addressed by its sessionId.

Quick start: Claude Code plugin

/plugin marketplace add AnimaApp/mcp-server-guide

/plugin install anima@mcp-server-guide

This configures the MCP server and installs the skill. Authenticate when prompted. That's it.

Installation & setup

Requirements
  • An MCP-capable AI coding tool — Claude Code, Codex, Cursor, VS Code, or anything speaking streamable HTTP
  • An Agent Grid account

Server URL: https://api.agentgrid.io/v1/mcp · Transport: streamable HTTP

Claude Code (manual)
  1. In your terminal (not inside Claude Code):
claude mcp add --transport http anima https://api.agentgrid.io/v1/mcp
  1. Restart Claude Code
  2. Run /mcp, select anima, and authenticate in the browser
  3. (Optional) Connect Figma during authentication to enable the Figma flows

Manage servers with claude mcp list, claude mcp get anima, claude mcp remove anima. See Anthropic's MCP documentation.

OpenAI Codex
codex mcp add anima --url https://api.agentgrid.io/v1/mcp

Or in ~/.codex/config.toml:

[mcp_servers.anima]

url = "https://api.agentgrid.io/v1/mcp"

Then install the skill (recommended):

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

See OpenAI's Codex MCP documentation.

VS Code
  1. Cmd Shift P / Ctrl Shift P → MCP: Add Server
  2. Select HTTP
  3. URL: https://api.agentgrid.io/v1/mcp
  4. Server ID: anima
  5. Choose global or workspace scope
{

"servers": { "anima": { "type": "http", "url": "https://api.agentgrid.io/v1/mcp" } } }

[!NOTE]

MCP in VS Code requires GitHub Copilot. See VS Code's documentation.

Cursor

Cursor > Settings > Cursor Settings > MCP > + Add new global MCP server:

{

"mcpServers": { "anima": { "url": "https://api.agentgrid.io/v1/mcp" } } }

Click Connect to authenticate. See Cursor's documentation.

Any other client
{

"mcpServers": { "anima": { "url": "https://api.agentgrid.io/v1/mcp" } } }

No MCP? Use the CLI

The Anima CLI runs the same tools from a shell — no MCP server to configure:

npx @animaapp/cli@latest login

npx @animaapp/cli@latest create -t p2c -p "SaaS dashboard with sidebar and analytics"

Prompting your agent

Build something new

"Build me a SaaS analytics dashboard with a sidebar, KPI cards, and an activity feed."

Your agent creates an artifact, waits for the build, and hands back a live preview URL. Ask for variants and it can generate several in parallel to compare.

Clone a site or implement a Figma design as a live app

"Clone stripe.com/payments into an app."

"Turn this Figma frame into a working site: https://figma.com/design/..."

Edit an existing artifact

"The header on https://app.agentgrid.io/artifacts/xyz is broken on mobile — fix it."

The agent clones the artifact's git repo, fixes it, and pushes. Content changes always go through git.

Implement a Figma design in your own codebase

"Implement this Figma design in my project: https://figma.com/design/..."

The agent generates code matched to your stack and uses the returned design snapshots as visual reference.

Publish

"Publish it."

Publishing makes an app public to the world — it isn't needed just to share, since the artifact URL is already viewable.

Design system access (Enterprise)

"Implement a login form following our design system, using this Figma URL: ..."

Design system setup is done with our team. Contact us to get it configured.

Best practices

Describe intent, not CSS. Agent Grid is design-aware; hex values and pixel dimensions in a prompt override that and produce generic results. Say what it's for, who it's for, and the 3–5 features that matter.

Be specific when implementing. "Implement the login form using our existing Button and Input components from src/components/ui" beats "implement this design".

Break down large designs. Header first, then the card grid, then the footer. Focused requests are more accurate.

Troubleshooting

Common issues — async generation, create-type validation, git token expiry, publish semantics — are covered in the skill's troubleshooting reference.

MCP not recognized: confirm the server is configured in your tool and that authentication completed. Authentication issues: remove and re-add the server, clear cookies, restart your client.

What's in this repo

PathPurpose
skills/anima/SKILL.mdThe skill your agent reads
skills/anima/references/Tool reference, setup, git workflow, examples, troubleshooting
.claude-plugin/Claude Code plugin and marketplace manifests
.mcp.jsonMCP server the plugin installs
server.jsonMCP Registry entry
anima/SKILL.mdMirror of the skill, kept in sync by CI

Additional resources

问 PopNx