
MCP Server UniFi
A server implementation that enables natural language interactions with UniFi network devices by wrapping the UniFi Network API for AI agents like Goose and Claude.
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
-
Create an API key:
- Go to your UniFi console at https://unifi.ui.com
- Navigate to Settings » Control Plane » Integrations
- Click "Create API Key"
-
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
.venv\Scripts\activate # On Windows
- Install dependencies:
uv sync
- 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
- Open Goose and go to Settings » Extensions » Add custom extension
- 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
- Open Claude and go to Settings » Developer » Edit Config
- 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"
]
}
}
}
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.