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Taroify Mcp

Taroify Mcp

Local
taroify.github.ioDeveloper Tools8Updated 17w ago
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About Taroify Mcp

Taroify MCP connects LLMs to Taroify documentation for developers building Taro React mini-programs. It enables direct retrieval of component and API data, runs through npx, and requires only Node.

Key features

  1. 01Retrieve component information from docs
  2. 02Retrieve API data from docs
  3. 03Run through npx
  4. 04Requires only Node

Use cases

  1. 01Look up Taroify component usage
  2. 02Retrieve Taroify API information
  3. 03Access Taroify docs from Cursor

MCP support

The MCP server lets MCP clients retrieve component and API data from Taroify documentation.

#taro#taro-ui#taroify#mcp-server

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "taroify": {
      "command": "npx",
      "args": [
        "-y",
        "@taroify/mcp"
      ]
    }
  }
}
Run commandnpx -y @taroify/mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@taroify/mcp

Tools

4

Saved tool list · updated 3w ago

This tool takes no parameters.

Details

From the project README

MseeP.ai Security Assessment Badge

logo

可靠的小程序端 Taro React UI 组件库 MCP

介绍

Taroify 是移动端组件库 Vant 的 Taro React 版本，两者基于相同的视觉规范，提供近似一致的 API 接口，助力开发者快速搭建小程序应用。

Taroify MCP 是一项独立的 MCP（模型上下文协议）服务，旨在将 Taroify 与大模型连接起来。它使大模型能够直接从文档中检索组件、API数据。

  • 直接使用 npx 运行
  • 无需外部依赖，只需要 Node 环境

Cursor 用法

Cursor Mcp 使用指南参考：https://docs.cursor.com/context/model-context-protocol#using-mcp-tools-in-agent

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

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