# UnifiyMe

> Use this tool when you need to integrate Large Language Models (LLMs) with UniFi Network Controllers for seamless monitoring and control. UnifiyMe solves problems of network management and automation by enabling LLMs to interact with UniFi infrastructure through a Model Context Protocol (MCP) server. It accepts LLM inputs and outputs network control and monitoring data, ideal for use cases requiring AI-driven network management and automation.

Canonical page: https://skillsregistry.net/skills/lobsterclause-unifiyme  
JSON: https://api.skillsregistry.net/v1/skills/lobsterclause-unifiyme

## Description

A Model Context Protocol (MCP) server for UniFi Network Controllers that enables LLMs to interact with UniFi infrastructure for monitoring and control.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/li2kcuhgjj)
- **Repository:** <https://github.com/lobsterclause/UnifiyMe>

## 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": "lobsterclause-unifiyme"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lobsterclause-unifiyme` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lobsterclause-unifiyme/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