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Smart Pet with MCP Server

@shijianzhong

リポジトリ

基本情報

カテゴリ

その他

ライセンス

NOASSERTION

トランスポート

stdio

作者

shijianzhong

Smart Pet with MCP Server について

一个桌宠形式的mcp client，可以对接任意mcp server,配合测试的mcp server 开源地址：https://github.com/shijianzhong/mcp-server-for-pc

Smart Pet with MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "smart-pet-with-mcp": {
      "command": "docker",
      "args": [
        "pull",
        "registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12"
      ]
    }
  }
}

Smart Pet with MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Smart Pet with MCP?

Smart Pet with MCP is an MCP (Model Context Protocol) client application that provides a smart pet companion experience using speech recognition and natural language processing. Designed for pet owners, it is a MCP-Client that can arbitrarily combine MCP-Servers to fulfill various needs.

How to use Smart Pet with MCP?

Clone the repository, install dependencies with pnpm install, and start the development environment with pnpm start. A Docker container is required for the FunASR speech recognition engine. Build for production using pnpm build:win, pnpm build:mac, or pnpm build:linux.

Key features of Smart Pet with MCP

  • Intelligent interaction via speech recognition and NLP
  • Modern UI built with Vue3 and Electron
  • Real-time response based on MCP protocol
  • Cross-platform support for Windows, macOS, and Linux
  • Voice recognition via the FunASR engine
  • MCP server configuration management

Use cases of Smart Pet with MCP

  • Interact with a virtual pet using voice commands
  • Control a personal computer via a MCP-Server (open browsers, apps, files)
  • Build custom automations by combining multiple MCP-Servers
  • Provide real-time pet companionship with natural language dialogue
  • Display weather and environment information interactively

よくある質問

1

What runtime dependencies are required?

Node.js >= 16, pnpm >= 7, and Docker (for running FunASR).

2

What AI models are supported?

Support for Anthropic, OpenAI, and other large language models is included.

3

How do I build the application for distribution?

Use `pnpm build:win` for Windows, `pnpm build:mac` for macOS, and `pnpm build:linux` for Linux.

4

Does the app have voice recognition?

Yes, it uses the FunASR speech recognition engine, which runs in a Docker container for online and offline recognition.

5

What database does the app use?

Better-SQLite3 is used for local data storage.

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