ThinQ Connect MCP Server

Overview

The ThinQ Connect MCP Server bridges the gap between conversational AI assistants and LG’s extensive ecosystem of smart appliances. By exposing a set of high‑level tools that mirror the capabilities of the LG ThinQ API, it allows assistants such as Claude to discover, monitor, and control devices like air conditioners, refrigerators, washers, and robot vacuums directly from a chat interface. This eliminates the need for users to juggle separate mobile apps or web portals, providing a single conversational channel that can orchestrate complex home‑automation workflows.

At its core, the server offers four essential operations: device discovery, status polling, control capability inspection, and command execution. The get_device_list tool returns a concise inventory of all ThinQ devices registered to the user’s account, enabling quick reference or filtering by type. get_device_status retrieves live telemetry—such as temperature, power state, or battery level—so the assistant can report current conditions or make informed decisions. get_device_available_controls exposes the exact set of methods and parameters supported by each device, allowing the assistant to construct valid command payloads. Finally, post_device_control sends those commands, turning an air conditioner on or setting a robot vacuum’s cleaning mode in a single step.

Developers benefit from the server’s Python Open SDK foundation, which handles authentication via a personal access token and country‑code configuration. The MCP connection method uses standard input/output streams, making it compatible with a wide range of AI client platforms, including Claude Desktop and other MCP‑aware tools. Because the server operates as a standalone process, it can be deployed on local machines or lightweight cloud instances without complex orchestration.

Real‑world use cases are abundant. A homeowner can ask their assistant to “turn off all lights and lock the doors” while preparing for bed, or a maintenance engineer might request “list all devices that need firmware updates.” In industrial settings, the same tools can be leveraged to monitor HVAC units or production line equipment, integrating alerts into existing operational dashboards. The ability to query device capabilities first ensures that only valid commands are sent, reducing the risk of errors and improving user trust.

In summary, ThinQ Connect MCP Server provides a consolidated, conversational interface to LG’s smart device ecosystem. Its straightforward tool set, combined with robust authentication and cross‑platform compatibility, makes it a powerful addition to any AI workflow that requires real‑time device interaction and automation.