# IoT MCP Server

> Use this tool when you need to integrate and manage data from various IoT devices, enabling AI assistants to collect and process sensor data through a single interface. It solves problems of device fragmentation and protocol inconsistencies, supporting multiple protocols for seamless communication. Ideal for use cases requiring unified data collection and task dispatching across diverse IoT ecosystems.

Canonical page: https://skillsregistry.net/skills/duke-cei-center-iot-mcp-servers  
JSON: https://api.skillsregistry.net/v1/skills/duke-cei-center-iot-mcp-servers

## Description

Enables AI assistants to read sensor data from IoT devices and dispatch data collection tasks through a unified interface supporting multiple protocols.

## Trust

- **Trust score (0–1):** 0.08
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ntjb9briuo)
- **Repository:** <https://github.com/Duke-CEI-Center/IoT-MCP-Servers>

## 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": "duke-cei-center-iot-mcp-servers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/duke-cei-center-iot-mcp-servers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/duke-cei-center-iot-mcp-servers/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