# UniFi RMCP

> UniFi RMCP — ai-dinglebear-runifi. Use this tool when you need to manage and automate UniFi Network controller operations, solving problems such as streamlined network configuration and monitoring. It provides a Rust-based MCP server and CLI interface, accepting commands and network data as inputs and producing operational outputs. Ideal for use in network administration contexts where efficient UniFi controller management is required.

Canonical page: https://skillsregistry.net/skills/ai-dinglebear-runifi  
JSON: https://api.skillsregistry.net/v1/skills/ai-dinglebear-runifi

## Description

Rust MCP server and CLI for UniFi Network controller operations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.2.5
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dinglebear%2Frunifi)
- **Repository:** <https://github.com/dinglebear-ai/runifi>

## 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": "ai-dinglebear-runifi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-runifi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-runifi/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