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
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
Basic information
More Other MCP servers
EverArt
modelcontextprotocolModel Context Protocol Servers
XcodeBuildMCP
cameroncookeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
Unity MCP ✨
justinpbarnettUnity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
Maestro
mobile-dev-incPainless E2E Automation for Mobile and Web
IDA Pro MCP
mrexodiaAI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
Comments