"Setting Up or Using an MQTT Server" matching MCP servers:

Enables Cursor to subscribe to MQTT topics and read buffered messages from an MQTT broker.

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

Enables AI agents to query MQTT message history stored in SQLite, including topic inventories, last values, historical data, silent devices, and collector connection gaps. Supports publishing messages when write mode is enabled.

Enables LLM agents to securely monitor and control MQTT devices for building automation, industrial control, and smart home systems through a standardized MCP interface.

Connects AI assistants to MQTT brokers for smart home automation and IoT device control, enabling topic discovery, sensor reading, command sending, and event monitoring.

Provides MQTT communication capabilities for Large Language Models and other clients, enabling connections to MQTT brokers, publishing and subscribing to topics, and managing real-time messaging workflows.

MCP server that bridges MQTT sensor data to MCP, allowing clients to query cached sensor readings and send commands via tools like list_topics, read_topic, and publish.

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 control of smart lights through MQTT messaging protocol, supporting operations like turning lights on/off and adjusting brightness levels from 0-100.

Enables agents to drive a Coreflux broker end to end over MQTT: running broker commands, publishing and subscribing to live topics, linting and deploying LoT/.lotnb files in order, uploading and exporting projects, tracing actions, and searching docs. Destructive operations are gated behind safety hooks, and no npm dependencies are required beyond Node.js 20+.

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.

Enables controlling and monitoring INSTAR IP cameras over MQTT, with tools to set and query camera settings, wait for state changes, check connectivity, retrieve snapshots, and list capabilities.

A Model Context Protocol server for AI agents to discover and control IoT devices through MQTT, using the AIoT Agent Network Protocol for device registration and communication.

Enables reading, setting, toggling, creating, and deleting alarms on a Philips Somneo wake-up light, plus reading bedroom room sensors (temperature, humidity, light, noise). It talks directly to the device's local HTTPS API, without app or cloud.

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.

Enables MQTT broker operations like connect, subscribe, and publish through MCP over SSE transport.

Enables control of local Xiaomi smart home devices via MCP, allowing reading real-time status and setting properties through natural language, without relying on the Xiaomi cloud.

Minimal in-memory Node.js server for the Gatepass gate-control prototype, exposing a REST API and an MCP tool (open_gate) to manage shared gate state.

Enables natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.

Enables programmatic control of Divoom Pixoo LED matrices to display layered pixel art, animations, and hardware-rendered scrolling text. Users can compose complex visual scenes, push images, and manage device settings like brightness and channels through an LLM.