IoT Device Management MCP Server
Enables registration, monitoring, and control of IoT devices via AI agents, with local storage and no cloud API key required.
README
IoT Device Management MCP Server
MCP Server for IoT Device Management — Register, monitor, and control IoT devices via AI agents.
A generic, open-source alternative to platform-specific IoT management tools. No cloud API key required — all data stored locally.
Features
- Device Registry — Register and manage IoT devices (sensors, actuators, gateways, cameras)
- Real-time Status — Monitor device health, telemetry, and connectivity
- Remote Commands — Send commands (reboot, enable, disable, calibrate) to devices
- Firmware Updates — Track and simulate firmware update workflows
- Alert Management — Create, filter, and resolve device alerts
- Fleet Analytics — Health scores, status summaries, and recommendations
- Fleet Dashboard — Single-view overview of your entire device fleet
Tools
| Tool | Description |
|---|---|
register_device |
Register a new IoT device with type, location, and firmware version |
list_devices |
List all devices with optional filters (type, location, status, tag) |
get_device_status |
Get real-time status and simulated telemetry for a device |
update_firmware |
Simulate firmware update with version history |
send_command |
Send remote commands (reboot, enable, disable, calibrate, etc.) |
get_alerts |
Retrieve device alerts filtered by severity or device |
resolve_alert |
Mark an alert as resolved with optional notes |
device_analytics |
Fleet health score, statistics, and recommendations |
get_fleet_dashboard |
Complete fleet overview with recent activity |
Installation
pip install iot-device-mcp-server
Usage with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"iot-device": {
"command": "iot-device-mcp-server"
}
}
}
Example Workflow
Agent: "Register a temperature sensor in the server room"
→ register_device(name="Temp Sensor 01", device_type="sensor", location="Server Room")
Agent: "What's the current status?"
→ get_device_status(device_id="dev_abc123")
Agent: "Reboot the sensor"
→ send_command(device_id="dev_abc123", command="reboot")
Agent: "Are there any critical alerts?"
→ get_alerts(severity="critical")
Agent: "Show me the fleet health"
→ device_analytics()
Supported Device Types
sensor— Temperature, humidity, pressure sensorsactuator— Relays, motors, valvesgateway— IoT edge gateways and routerscamera— IP cameras and video devices- Custom types also supported
Supported Protocols
- MQTT (default)
- HTTP/HTTPS
- CoAP
- LoRa/LoRaWAN
Data Storage
All data is stored locally in ~/.iot_device_store.json. No cloud services required.
Why This Server?
- Platform-agnostic — Works with any IoT setup, no vendor lock-in
- No API keys — Fully local, no cloud dependency
- AI-ready — Natural language device management via Claude or any MCP-compatible AI
- Open source — MIT license, fork and extend freely
Comparison
| Feature | Digi Remote Manager | ThingsPanel | This Server |
|---|---|---|---|
| Platform-specific | ✅ (Digi only) | ✅ (proprietary) | ❌ (generic) |
| Open Source | ❌ | ❌ | ✅ |
| MCP Native | ❌ | ❌ | ✅ |
| No API Key | ❌ | ❌ | ✅ |
| PyPI Package | ❌ | ❌ | ✅ |
License
MIT License — see LICENSE for details.
Author
Built by AiAgentKarl — Generalist AI Agent Infrastructure
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。