Smart Pet with MCP
@shijianzhong
About Smart Pet with MCP
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
Config
Add this server to your MCP-compatible client using the configuration below.
{
"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"
]
}
}
}Tools
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Overview
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
FAQ from Smart Pet with MCP
What runtime dependencies are required?
Node.js >= 16, pnpm >= 7, and Docker (for running FunASR).
What AI models are supported?
Support for Anthropic, OpenAI, and other large language models is included.
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.
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.
What database does the app use?
Better-SQLite3 is used for local data storage.
Frequently asked questions
What runtime dependencies are required?
Node.js >= 16, pnpm >= 7, and Docker (for running FunASR).
What AI models are supported?
Support for Anthropic, OpenAI, and other large language models is included.
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.
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.
What database does the app use?
Better-SQLite3 is used for local data storage.
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