Ai Canvas Mcp (@aicanvas/mcp)

Name: Ai Canvas Mcp (@aicanvas/mcp)
Author: uiNerd16

@uiNerd16

关于 Ai Canvas Mcp (@aicanvas/mcp)

Browse and install 75+ free animated, shadcn-compatible React components from AI Canvas, each with AI reproduction prompts. Read-only MCP server over the live aicanvas.me registry; eight tools.

#react #components #shadcn #ui #tailwind #animation #design-system #frontend

基本信息

许可证

MIT

运行时

node

传输方式

stdio

发布者

uiNerd16

提交者

myHERO

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "aicanvas": {
      "command": "npx",
      "args": [
        "-y",
        "@aicanvas/mcp"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is AI Canvas MCP?

AI Canvas MCP is a read-only Model Context Protocol server that lets AI editors (Claude Code, Codex, Cursor, etc.) search, inspect, and install animated React components, design systems, and templates from the AI Canvas catalog directly into a project. It serves developers who want to drop finished, open‑source UI code into their codebase or let their AI agent handle installation.

How to use AI Canvas MCP?

Connect the server to your AI editor with claude mcp add aicanvas -- npx -y @aicanvas/mcp or add it to your MCP configuration file. The server fetches the live registry at runtime and returns component source code and reproduction prompts. No additional setup is required; the server works out of the box with any MCP‑compatible editor.

Key features of AI Canvas MCP

Read‑only server that fetches the live AI Canvas registry
Lets AI agents search, inspect, and install components automatically
Returns full React/TypeScript source code, not black‑box dependencies
Supports reproduction prompts for Claude Code, Lovable, and V0
Works with shadcn CLI, MCP, and direct prompt copying
Open‑core: free components are MIT licensed; Premium is proprietary

Use cases of AI Canvas MCP

Letting an AI agent install animated React components during a coding session
Quickly adding a design system (e.g., Andromeda) or template to a new project
Remixing a component by handing its reproduction prompt to a different AI editor

FAQ from AI Canvas MCP

What is the difference between AI Canvas MCP and the shadcn CLI?

The shadcn CLI installs components manually with npx shadcn@latest add @aicanvas/<slug>. AI Canvas MCP automates this by letting your AI editor search, inspect, and install components for you in the same way.

What runtime dependencies are required?

AI Canvas components are built with React, TypeScript, Tailwind CSS, and Framer Motion. 3D pieces use Three.js. They are designed for the Next.js App Router but work in any modern React setup.

Is AI Canvas MCP free?

Yes, the MCP server is free to use, and the free library of components is MIT licensed. Premium components, design systems, and templates are proprietary under the AI Canvas Premium License.

Where does the server fetch data from?

It fetches the live AI Canvas registry at runtime, so new components become available to your agent shortly after they are published. The server is read‑only and does not store any data locally.

What editors does AI Canvas MCP work with?

It works with any MCP‑compatible AI editor, including Claude Code, Codex, Cursor, and others.