# taroify-mcp

> taroify-mcp — taroify-taroify-mcp. Use this tool when you need to integrate Taroify with large models, enabling direct retrieval of components and API data from documents. It solves the problem of connecting Taroify to large models, providing a seamless interface for data exchange. The tool takes in document data and outputs connected components and API data, ideal for use cases involving large-scale model integration and data retrieval.

Canonical page: https://skillsregistry.net/skills/taroify-taroify-mcp  
JSON: https://api.skillsregistry.net/v1/skills/taroify-taroify-mcp

## Description

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。

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/taroify/taroify-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "taroify-taroify-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/taroify-taroify-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/taroify-taroify-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt