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mcp-Unifi智能服务器

一种服务器实现,通过封装 UniFi Network API 以便与类似 Goose 和 Claude 的 AI 代理交互,从而实现与 UniFi 网络设备的自然语言交互。

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README

MCP Server UniFi

A server implementation for managing and controlling UniFi network devices through MCP (Management Control Protocol). This server enables natural language interactions with your UniFi network using AI agents like Goose and Claude by wrapping the UniFi Network API.

Features

  • Query UniFi sites and devices using natural language through AI agents
  • Local server implementation that connects to your UniFi Network application
  • Compatible with both Goose AI and Claude Desktop
  • Secure API key-based authentication

Prerequisites

  • Python 3.8 or higher
  • uv package manager
  • UniFi Network application
  • UniFi API key (obtained from UniFi console)

Setup

  1. Create an API key:

    • Go to your UniFi console at https://unifi.ui.com
    • Navigate to Settings » Control Plane » Integrations
    • Click "Create API Key"
  2. Clone and set up the repository:

git clone https://github.com/zcking/mcp-server-unifi
cd mcp-server-unifi
uv venv
source .venv/bin/activate  # On Unix/macOS
# or
.venvScriptsactivate  # On Windows
  1. Install dependencies:
uv sync
  1. Configure environment variables:
export UNIFI_API_KEY="your_api_key_here"

Running the Server

Start the MCP development server:

uv run mcp dev main.py

The MCP Inspector will be available at http://localhost:5173 for testing and debugging.

AI Agent Integration

Goose AI Setup

  1. Open Goose and go to Settings » Extensions » Add custom extension
  2. Configure the extension:
    • ID: unifi
    • Name: unifi
    • Description: Get information about your UniFi network
    • Command: /Users/username/.local/bin/uv --directory /path/to/mcp-server-unifi run main.py
    • Environment Variables: Set UNIFI_API_KEY to your API key

Claude Desktop Setup

  1. Open Claude and go to Settings » Developer » Edit Config
  2. Add to your claude_desktop_config.json:
{
    "mcpServers": {
        "unifi": {
            "command": "/Users/username/.local/bin/uv",
            "args": [
                "--directory",
                "/path/to/mcp-server-unifi",
                "run",
                "main.py"
            ]
        }
    }
}
help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端