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"MQTT" matching MCP servers:

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    Enables LLM agents to interact with MQTT brokers through publish, subscribe, and query operations. Provides fine-grained topic permissions with wildcard support for secure IoT device communication and sensor data access.
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    BSD 3-Clause
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    A high-performance, multi-protocol API mock server with 18 built-in MCP tools for managing HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP mocks, chaos engineering, stateful CRUD resources, and request verification.
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    Apache 2.0
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    Enables comprehensive control and monitoring of Bambu Lab 3D printers through Claude using local MQTT, FTPS, and X.509 authentication. Users can manage print jobs, monitor real-time status, handle filament through AMS, and adjust hardware settings like temperature and lighting.
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    MIT
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    An MCP server for controlling Bambu Lab 3D printers that enables users to manipulate STL files, slice 3MF files, and manage end-to-end print workflows directly from Claude. It provides real-time status monitoring, file management via FTPS, and printer control through MQTT for a focused, lean Bambu-only implementation.
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    GPL 2.0
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    An MCP server that bridges the physical world and AI models by enabling natural language control of IoT hardware via the MQTT protocol. It supports real-time device monitoring, command publishing, and response handling for seamless integration between AI clients and physical devices.
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    A Model Context Protocol server that bridges Google Sheets, Azure AI, and MQTT APIs to facilitate spreadsheet code generation, AI chat integration, and comprehensive IoT device management. It allows users to perform CRUD operations on spreadsheets, integrate Azure AI models, and handle real-time MQTT messaging for IoT applications.
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    This server bridges the Model Context Protocol (MCP) to the MQTT protocol, allowing LLMs to interact with IoT devices and hardware systems through configurable message topics. It enables users to map natural language prompts to specific MQTT commands for controlling devices like Raspberry Pi fans or PWM controllers.
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    A BLE fitness device simulator that enables AI agents to control simulated heart rate monitors, treadmills, and cycling trainers via the Model Context Protocol. It integrates ESP32 firmware, an MQTT broker, and a FastAPI backend for comprehensive device management and real-time interaction.
    Last updated