
MQTTX 1.9.9 Released: Debug Logging and UI Flexibility
MQTTX 1.9.9 is now available with critical updates: improved connection events, CBOR data format support, customizable log levels for debugging, and enhanced UI flexibility.

MQTTX 1.9.9 is now available with critical updates: improved connection events, CBOR data format support, customizable log levels for debugging, and enhanced UI flexibility.

MQTTX 1.9.8 is now available, introducing a new CLI Debug Mode. This feature greatly enhances developers' troubleshooting and analysis capabilities.

A significant highlight of this release is the introduction of MQTTX Copilot, our innovative MQTT AI assistant, specially designed to offer crucial convenience to users.

This update prioritizes the improvement of connection protocols and user interface for a better experience.

This blog will introduce each new feature introduced in 5.0 in turn, and use the MQTTX CLI tool to demonstrate how we can use these features in EMQX.

In this article, we will delve into integrating ChatGPT with the MQTT client tool, MQTTX, with the goal of simulating and generating authentic IoT data streams.

In this version, we have mainly enhanced the error message prompts for JSON syntax in the desktop client and added support for JSON highlighting in messages.

This update brings significant improvements to user experience, including more efficient support for Protobuf message transmission and optimized automatic update functionality.

In this blog, we will guide you on how to use MQTTX for testing Serverless MQTT connections, including publishing, subscribing, and messaging.

Learn how to use a natural language processing app like ChatGPT with MQTT protocol for intelligent IoT applications, with a simple example provided.

MQTTX 1.9.3 introduced a valuable enhancement to its command-line client: It empowers developers to simulate IoT scenario data, catering to their specific testing needs.

v1.9.2 supports the output mode of the command-line tool, allowing users to customize data pipelines according to their needs and thus more conveniently and efficiently process output data.