OpenHue MCP Server is an MCP server that allows users to control Philips Hue lights through natural language interfaces like Claude and other LLMs. It uses the OpenHue CLI for communication with the Hue Bridge and supports features such as light control, room management, scene activation, and more.
The OpenHue MCP Server enables seamless integration of Philips Hue lighting systems with AI-powered assistants like Claude. By providing a natural language interface, it simplifies complex tasks such as controlling lights, managing rooms, and activating scenes, making smart home automation more accessible and user-friendly.
This tool is ideal for developers, smart home enthusiasts, and users who want to integrate their Philips Hue lighting system with advanced AI tools like Claude. It’s particularly useful for those familiar with Docker, Node.js, and command-line operations.
OpenHue MCP Server can be used in any environment where Philips Hue lights are deployed, including homes, offices, or commercial spaces. It requires a compatible Hue Bridge and works on platforms like Linux, macOS, and Windows with Docker support.
You should set up OpenHue MCP Server when you want to enhance your smart lighting experience by integrating it with AI-driven interfaces like Claude. It’s especially helpful if you’re looking to automate lighting controls or manage multiple devices and scenes efficiently.
To set up the OpenHue CLI, run the appropriate Docker command for your operating system (Linux/macOS or Windows). Follow the on-screen instructions, press the link button on your Hue Bridge when prompted, and verify the setup by listing your lights using the 'get lights' command.
You need Node.js (v16 or higher), Docker, and optionally Claude for Desktop (for testing). Additionally, ensure your Hue Bridge is properly configured and connected to your network.
Clone the repository, install dependencies using `npm install`, build the project with `npm run build`, and start the server using `npm start`. Ensure the OpenHue CLI is correctly set up before running the server.
The server exposes capabilities like light control (on/off, brightness, color, temperature), room control (managing all lights in a room), scene management (listing and activating scenes), and integration with natural language queries via Claude Desktop.
For server connection issues, check if Docker is running, verify OpenHue configuration, and review Claude Desktop logs. For command failures, ensure correct permissions, validate device names, and inspect Docker container and Hue Bridge connectivity logs.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.