CheerLights MCP Server

by cheerlights

API/Clients & Integration Claude CheerLights IoT API

The CheerLights MCP Server allows Claude or other AI tools to interact with the CheerLights API, a global IoT project synchronizing colors across connected lights worldwide. It provides real-time access to CheerLights color data.

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What is CheerLights MCP Server?

This is a Model Context Protocol (MCP) server designed to interface with the CheerLights API. It enables AI models like Claude to access and utilize real-time color data from the CheerLights project.

How to use CheerLights MCP Server?

To use this server, first install the required dependencies (mcp and httpx) using pip. Then, save the server code to a file and run it using Python. Finally, configure Claude for Desktop by adding the server details to the claude_desktop_config.json file.

Key features of CheerLights MCP Server

Get the current CheerLights color
View recent color change history
Real-time integration with the CheerLights API
Enables AI interaction with IoT data

Use cases of CheerLights MCP Server

Asking Claude about the current CheerLights color
Requesting a history of recent CheerLights color changes
Integrating real-time IoT data into AI workflows
Building AI-powered applications that respond to CheerLights color changes

FAQ from CheerLights MCP Server

What is CheerLights?

CheerLights is a global IoT project that synchronizes colors across connected lights worldwide.

What is MCP?

MCP stands for Model Context Protocol, a way for AI models to interact with external data sources.

What dependencies are required?

The server requires the 'mcp' and 'httpx' Python packages.

How do I configure Claude for Desktop?

You need to add the server details to the claude_desktop_config.json file, specifying the command and arguments to run the server.

Where can I find more information?

Refer to the blog tutorial: https://nothans.com/learn-how-to-create-your-own-mcp-server-for-claude-desktop-and-windsurf