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mcp-server-unifi

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

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client