# Home Assistant MCP Server

> Use this tool when you need to integrate AI-powered voice control with Home Assistant smart home devices, enabling seamless natural language interactions for device management and automation. It solves problems of complex device control and monitoring, providing a user-friendly interface for AI agents to access device states, history, and automation capabilities. The tool accepts natural language inputs and outputs device control signals, entity states, and automation scripts through MCP protocol and HTTP REST API modes.

Canonical page: https://skillsregistry.net/skills/jonathan97480-mcphomeassistant  
JSON: https://api.skillsregistry.net/v1/skills/jonathan97480-mcphomeassistant

## Description

Enables AI agents to control and monitor Home Assistant smart home devices through natural language interactions. Supports device control, entity state monitoring, history access, and automation generation with both MCP protocol and standalone HTTP REST API modes.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z7l2elon8d)
- **Repository:** <https://github.com/Jonathan97480/McpHomeAssistant>

## 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": "jonathan97480-mcphomeassistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonathan97480-mcphomeassistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonathan97480-mcphomeassistant/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
