MCP Server for Local

by Dreamboat-Rachel

14 stars

36 downloads

Not rated

GitHub

Other

About

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

Details

Author: Dreamboat-Rachel
GitHub stars: 14
Downloads: 36
Categories: Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP Server for Local

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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".

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

MCP Server for Local

一个基于 MCP (Multi-Component Platform) 的本地代理服务器和客户端实现，提供多种 AI 工具调用能力。

功能特点

核心功能

- 天气查询：实时获取全球任意位置的天气信息，支持温度、湿度、风速等详细数据 - 谷歌搜索：智能检索互联网信息，支持多语言和高级搜索语法 - 摄像头控制：支持拍照、视频流和微表情分析，可用于情绪识别 - 图片生成：集成 ComfyUI，支持文本到图像的 AI 生成 - 智能对话：基于 DashScope 的 AI 对话能力，支持上下文理解和多轮对话

技术特性

- 跨平台支持（Windows 和 Linux） - 模块化设计，易于扩展新功能 - 完整的日志系统，便于调试和监控 - 支持自定义工具和 API 集成 - 高性能并发处理能力

环境配置

系统要求

- Python 3.8+ - Node.js (可选，用于运行 JavaScript 服务器) - Chrome 浏览器（用于谷歌搜索功能） - 摄像头（用于拍照功能） - 至少 4GB 内存 - 支持 CUDA 的显卡（可选，用于加速 AI 计算）

安装步骤

1. 克隆仓库：

git clone https://github.com/yourusername/mcp-server-for-local.git

cd mcp-server-for-local

2. 创建并激活虚拟环境：
```bash

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Server for Local

功能特点

核心功能

技术特性

环境配置

系统要求

安装步骤

Install

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