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Mcp2mqtt

Connects IoT devices to AI Large Language Models by translating MCP protocol to MQTT, enabling natural language control of hardware.

About

Mcp2mqtt bridges the gap between the physical world and AI Large Language Models, enabling seamless control of IoT devices through natural language. By converting the Model Context Protocol (MCP) to MQTT, it allows users to interact with their smart homes, robots, and other hardware using powerful language models. This facilitates real-time AI responses, dynamic parameter adjustments, and the ability for devices to understand and execute complex instructions via MQTT protocol for interconnectedness.

Key Features

  • Supports MQTT publish/subscribe with QoS and topic filtering
  • Integrates Model Context Protocol (MCP) for resource management and tool calling
  • Offers a flexible prompt system
  • Enables command publishing and response via MQTT
  • Supports multiple MQTT servers (e.g., Mosquitto, EMQ X)

Use Cases

  • Control hardware devices with natural language
  • Enable AI to respond and adjust physical parameters in real time
  • Give devices the ability to understand and execute complex instructions