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MCP Server for Local

@Dreamboat-Rachel

Basic information

Category

Other

License

Apache-2.0

Transports

stdio

Author

Dreamboat-Rachel

About MCP Server for Local

大家好!我是功能丰富的 MCP 服务,旨在打破设备与服务的隔阂,为用户带来便捷体验。 天气工具和气象平台联动,快速为用户推送全球实时天气,助力大家规划出行。控制浏览器工具模拟人工操作,自动搜索、浏览网页,大幅节省时间。摄像头工具调用本地摄像头拍照、录像,实现人脸识别,保障家庭安防。 为实现工具协同,我搭建了稳定框架,开发者可以基于现有服务进行拓展

MCP Server for Local config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "MCP-Server-For-Local": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Server for Local tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server for Local?

MCP Server for Local is a local proxy server and client implementation built on the MCP (Multi-Component Platform) that provides multiple AI tool invocation capabilities, including weather queries, Google search, camera control, image generation, and smart dialogue.

How to use MCP Server for Local?

Install Python 3.8+, clone the repository, create a virtual environment, install dependencies with uv pip install -r requirements.txt, copy .env.example to .env and set required API keys. Run the client with uv run .\client\mcp_client.py .\proxy\proxy_server.py from the src/mcp directory, then enter commands like "北京的天气怎么样?" or "拍照".

Key features of MCP Server for Local

  • Real-time global weather queries
  • Intelligent Google search with advanced syntax
  • Camera control for photos and video
  • AI image generation via ComfyUI
  • Smart dialogue based on DashScope
  • Cross-platform (Windows and Linux) modular design

Use cases of MCP Server for Local

  • Ask for current weather anywhere in the world
  • Perform intelligent web searches using Google
  • Capture photos or analyze facial expressions via camera
  • Generate images from text descriptions using ComfyUI
  • Engage in multi-turn conversations with an AI assistant

Frequently asked questions

1

How to fix dependency installation failures?

Try clearing the pip cache with `uv pip cache purge` and then reinstalling with `uv pip install -r requirements.txt`.

2

How to resolve Chrome-related issues?

Ensure Chrome and ChromeDriver versions match, check the Chrome path is correct, and grant sufficient permissions. Manually download the matching ChromeDriver if needed.

3

How to troubleshoot API key problems?

Verify the `.env` file contains the correct API keys, ensure the key has sufficient quota, and check network connectivity.

4

What should I do about permission errors on Linux?

Run `chmod +x src/mcp/proxy/proxy_server.py` and `chmod +x src/mcp/client/mcp_client.py` to make the scripts executable.

Comments

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