广告合作
MCP.so
登录

Smart Pet with MCP Server

@shijianzhong

代码仓库

基本信息

分类

其他

许可证

NOASSERTION

传输方式

stdio

作者

shijianzhong

关于 Smart Pet with MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

评论

其他 分类下的更多 MCP 服务器

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

N

Next Generation Movers: free moving quotes (remote MCP)

Next Generation Movers

Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Reactive Resume

amruthpillai

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

39.5K
广告合作