by thinq-connect
ThinQ Connect MCP Server β integrated LG ThinQ control for smart home server: monitor device status, control devices, an
β 21
GitHub stars
Connects Claude to LG ThinQ smart home devices for monitoring status and controlling appliances like air conditioners and other IoT devices. Requires LG ThinQ API access token.
ThinQ Connect MCP Server is an official MCP server published by thinq-connect that provides AI assistants with tools and capabilities via the Model Context Protocol. ThinQ Connect MCP Server β integrated LG ThinQ control for smart home server: monitor device status, control devices, an It is categorized under developer tools.
You can install ThinQ Connect MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
Apache-2.0
ThinQ Connect MCP Server is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research β Summarize β Create document β Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: ThinQ Connect MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend ThinQ Connect MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated ThinQ Connect MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: ThinQ Connect MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
ThinQ Connect MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired ThinQ Connect MCP Server into a staging workspace; the listingβs GitHub and npm pointers saved time versus hunting across READMEs.
ThinQ Connect MCP Server is a well-scoped MCP server in the explainx.ai directory β install snippets and categories matched our Claude Code setup.
ThinQ Connect MCP Server reduced integration guesswork β categories and install configs on the listing matched the upstream repo.
ThinQ Connect MCP Server is a well-scoped MCP server in the explainx.ai directory β install snippets and categories matched our Claude Code setup.
According to our notes, ThinQ Connect MCP Server benefits from clear Model Context Protocol framing β fewer ambiguous βAI pluginβ claims.
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This is the official MCP (Model Context Protocol) server for LG ThinQ devices. This server provides integrated control capabilities including status monitoring, device control, and profile information for various LG ThinQ devices, built on the LG ThinQ API and Python Open SDK. MCP connection method is stdio.

Device List Query
Retrieve a list of all registered LG ThinQ devices.
Device Status Monitoring
Get real-time status information for specific devices.
Device Control
Execute control commands defined in each device's profile.
(e.g., turn air conditioner on/off, set temperature, etc.)
Device Control Capabilities Query
Provide detailed information about controllable properties, methods information for each device.
Open up the configuration file, and add ThinQ Connect MCP config.
{
"mcpServers": {
"thinqconnect-mcp": {
"command": "uvx",
"args": [
"thinqconnect-mcp"
],
"env": {
"THINQ_PAT": "your_personal_access_token_here",
"THINQ_COUNTRY": "your_country_code_here"
}
}
}
}
After setting up the configuration file as shown in the Quick Start section, you can use the ThinQ Connect MCP Server directly in your conversations with Claude.
Examples of prompts you can use:
get_device_list
get_device_available_controls
get_device_status
post_device_control
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
β Do
β Don't
π‘ Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
β Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
β Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.