# Ecovacs MCP Server

> Use this tool when you need to integrate AI-powered home automation with Ecovacs robot vacuums, enabling seamless control and monitoring of cleaning tasks, device status, and charging cycles. It solves problems of manual vacuum control and limited smart home integration, providing inputs such as device commands and queries, and outputs like device status and cleaning reports. Ideal for use in smart home setups, voice assistant integrations, and automated cleaning routines.

Canonical page: https://skillsregistry.net/skills/ecovacs-ai-ecovacs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ecovacs-ai-ecovacs-mcp

## Description

A control server that enables AI assistants to interact with Ecovacs robot vacuums through MCP protocol, supporting device listing, cleaning control, charging control, and status queries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lb5j8mvyiz)
- **Repository:** <https://github.com/ecovacs-ai/ecovacs-mcp>

## 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": "ecovacs-ai-ecovacs-mcp"
    }
  }
}
```

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