Cheerlights Mcp
What is Cheerlights Mcp
cheerlights-mcp is a Model Context Protocol (MCP) server that enables AI tools, such as Claude, to interact with the CheerLights API, which is part of a global IoT project synchronizing colors across connected lights worldwide.
Use cases
Use cases for cheerlights-mcp include querying the current color of CheerLights, displaying the last 10 color changes, and integrating with AI tools for enhanced user interaction in smart lighting systems.
How to use
To use cheerlights-mcp, install the necessary dependencies using ‘pip install mcp httpx’. Save the server code to a file and run it with ‘python server.py’. Configure Claude for Desktop to connect to the MCP server and ask questions about the current CheerLights color or recent color changes.
Key features
Key features of cheerlights-mcp include retrieving the current CheerLights color, viewing recent color change history, and real-time integration with the CheerLights API.
Where to use
cheerlights-mcp can be used in smart home applications, IoT projects, and any environment where synchronized lighting is desired, enhancing user experience through interactive color management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Cheerlights Mcp
cheerlights-mcp is a Model Context Protocol (MCP) server that enables AI tools, such as Claude, to interact with the CheerLights API, which is part of a global IoT project synchronizing colors across connected lights worldwide.
Use cases
Use cases for cheerlights-mcp include querying the current color of CheerLights, displaying the last 10 color changes, and integrating with AI tools for enhanced user interaction in smart lighting systems.
How to use
To use cheerlights-mcp, install the necessary dependencies using ‘pip install mcp httpx’. Save the server code to a file and run it with ‘python server.py’. Configure Claude for Desktop to connect to the MCP server and ask questions about the current CheerLights color or recent color changes.
Key features
Key features of cheerlights-mcp include retrieving the current CheerLights color, viewing recent color change history, and real-time integration with the CheerLights API.
Where to use
cheerlights-mcp can be used in smart home applications, IoT projects, and any environment where synchronized lighting is desired, enhancing user experience through interactive color management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
CheerLights MCP Server
A Model Context Protocol (MCP) server that allows Claude or other AI tools to interact with the CheerLights API. CheerLights is a global IoT project that synchronizes colors across connected lights worldwide.
Features
- Get the current CheerLights color
- View recent color change history
- Real-time integration with the CheerLights API
Installation
First, install the necessary dependencies:
pip install mcp httpx
Running the Server
Save the code to a file (e.g., server.py) and run it:
python server.py
Connecting to Claude for Desktop
Add this to your Claude for Desktop configuration:
- Windows:
%APPDATA%\Claude\claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"cheerlights": {
"command": "python",
"args": [
"path/to/server.py"
]
}
}
}Using with Claude
After restarting Claude for Desktop, you can ask questions like:
- “What’s the current CheerLights color?”
- “Show me the last 10 CheerLights color changes”
API Reference
The server uses the CheerLights API endpoint:
http://api.thingspeak.com/channels/1417/field/1/last.json
Blog Tutorial
Learn How to Create Your Own MCP Server for Claude Desktop and Windsurf
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
