# mcp-unifi-applications

> mcp-unifi-applications — kallistox-mcp-unifi-applications. Use this tool when you need to query UniFi API documentation for Network, Protect, Site Manager, and InnerSpace through a read-only MCP server, providing endpoint search, schema drill-down, and code examples in multiple languages. It solves problems related to accessing and understanding UniFi API documentation for AI agents, without requiring controller credentials. Ideal for use cases where programmatic access to UniFi API documentation is necessary, such as automation and integration tasks.

Canonical page: https://skillsregistry.net/skills/kallistox-mcp-unifi-applications  
JSON: https://api.skillsregistry.net/v1/skills/kallistox-mcp-unifi-applications

## Description

UniFi MCP server that makes the official UniFi API documentation (Network, Protect, Site Manager, InnerSpace) queryable by AI agents — endpoint search, schema drill-down, code examples in 5 languages. Read-only, no controller credentials.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/KallistoX/mcp-unifi-applications)

## 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": "kallistox-mcp-unifi-applications"
    }
  }
}
```

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