# sylvia-iot-mcp

> Use this tool when you need to manage IoT platforms using natural language, enabling AI assistants to interact with devices and services seamlessly. It solves problems related to remote monitoring, device control, and data analysis, providing a user-friendly interface for AI agents to send commands and receive data. The tool accepts natural language inputs and outputs device status, data, and control responses, making it ideal for use cases requiring voice or text-based IoT management.

Canonical page: https://skillsregistry.net/skills/woofdogtw-sylvia-iot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/woofdogtw-sylvia-iot-mcp

## Description

Exposes sylvia-iot-core management APIs as tools for AI assistants, enabling IoT platform management via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w8179iqeyf)
- **Repository:** <https://github.com/woofdogtw/sylvia-iot-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": "woofdogtw-sylvia-iot-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/woofdogtw-sylvia-iot-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/woofdogtw-sylvia-iot-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