"MQTT" matching MCP servers:

Enables interacting with MQTT brokers to publish, subscribe, and manage connections, with a real-time web UI for visual feedback.

Enables AI assistants to publish and subscribe to MQTT topics with configurable transport options (STDIO, Streamable HTTP, SSE), supporting both local development and web deployments with flexible broker authentication.

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.

A Model Context Protocol (MCP) server implementation that provides EMQX MQTT broker interaction.

Connects Claude and other MCP-compatible AI assistants to a Coreflux MQTT broker, enabling them to discover and execute Coreflux commands for managing models, actions, rules, and routes through natural language.

Enables AI agents to control monitor settings (brightness, contrast, input source) via DDC/CI protocol, with support for MQTT integration.

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.

MCP server for Bitbucket Cloud that enables reviewing, managing, and merging pull requests, assigning reviewers by name, reading files at a ref, and inspecting pipeline status from any MCP client.

Enables management of Omnissa Horizon VDI infrastructure through the Horizon REST API, offering tools for inventory, monitoring, configuration, entitlements, Active Directory, and help desk operations.

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.

Links 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.

Enables MCP-compatible AI clients to safely control Home Assistant devices and query MQTT sensors through natural language, using allowlist-guarded actions and pre-defined automations.

An MCP server that enables LLMs to list, inspect, and control Zigbee devices via the Zigbee2MQTT frontend websocket API, eliminating the need for direct MQTT broker access.

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.