# MCP Server UniFi

> Use this tool when you need to manage UniFi network devices using natural language commands, enabling AI agents to interact with network infrastructure. It solves problems of complex network configuration and monitoring by providing a simple, text-based interface. The MCP Server UniFi takes natural language inputs and outputs device status and configuration changes, making it ideal for use cases requiring automated network management and control.

Canonical page: https://skillsregistry.net/skills/zcking-mcp-server-unifi  
JSON: https://api.skillsregistry.net/v1/skills/zcking-mcp-server-unifi

## Description

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.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/il0hwi11sk)
- **Repository:** <https://github.com/zcking/mcp-server-unifi>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zcking-mcp-server-unifi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zcking-mcp-server-unifi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zcking-mcp-server-unifi/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt