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maintenanceLinks IoT devices to AI large models using the MCP and MQTT protocols, enabling natural language control, real-time AI responses, and complex instruction execution for interconnected IoT devices.
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MIT
Why this server?
通过 MCP 和 MQTT 将 IoT 设备接入 AI 大模型，支持自然语言控制、实时响应和复杂指令执行，最贴合物联平台场景。
Why this server?
面向真实 IoT 部署，支持读取设备、开通硬件、部署自动化规则、管理告警和下发指令。
AlicenseNot gradedqualityDmaintenanceEnables AI clients to connect to live IoT deployments, read devices, provision hardware, deploy automation rules, manage alarms, and send commands to physical equipment.MITWhy this server?
提供统一的 IoT 传感器数据读取与采集任务下发接口，适合接入多协议物联设备。
FlicenseNot gradedqualityFmaintenanceEnables AI assistants to read sensor data from IoT devices and dispatch data collection tasks through a unified interface supporting multiple protocols.17-Why this server?
支持 IoT 设备注册、监控和控制，且无需云 API Key，适合本地或私有物联平台。
AlicenseAqualityDmaintenanceEnables registration, monitoring, and control of IoT devices via AI agents, with local storage and no cloud API key required.921 PyPIMITWhy this server?
面向边缘与 IoT 设备，可通过 UART、BLE、Wi-Fi 等通道发现并调用物理硬件。
Why this server?
可发现并控制局域网及 Bluetooth LE 的 IoT 设备，适合设备接入与联动控制。
AlicenseBqualityDmaintenanceEnables AI assistants to discover and control IoT devices on local networks and via Bluetooth LE.71MITWhy this server?
同时提供 IoT 设备控制和持久记忆/语义检索能力，适合构建物联助手。
FlicenseNot gradedqualityDmaintenanceProvides two Model Context Protocol servers that enable controlling IoT devices and managing persistent memory storage with semantic search capabilities.2-Why this server?
支持通过自然语言管理 Ubidots IoT 平台中的设备、数据和自动化。
Ubidots MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceEnables MCP clients to interact with the Ubidots IoT platform for managing IoT devices, data, and automation through natural language.21 PyPIMITWhy this server?
连接 ThingsBoard IoT 平台，可查询设备遥测、管理 IoT 实体并分析传感器数据。
AlicenseNot gradedqualityDmaintenanceConnect your AI workflows to the ThingsBoard IoT Platform through this MCP server. Enables LLMs to query device telemetry, manage IoT entities (devices, assets, customers), and analyze sensor data - all through natural language. Perfect for building AI-powered IoT monitoring, predictive maintenance,99Apache 2.0
