mcu

This MCU MCP server provides a color tool built with Express.js that generates a color scheme from a provided seed color. The server exposes an MCP endpoint at the /mcp path where clients can send MCP messages to request a color palette derived from a seed. You can connect with MCP clients such as MCP Inspector and ensure your connection URL includes the MCP path (for example, https://your-deployment.domain/mcp). The server handles POST requests to /mcp and responds with color data that can be used in design workflows or theming tasks. To use the tool, send an MCP message containing a seed color (for example a hex value like #3f6a8a) and the server will return a generated color scheme along with any metadata supported by the MCP protocol.

Prerequisites:

• Node.js and npm installed on your system
• Access to the repository containing the MCU MCP Server

Step-by-step:

1. Clone the repository: git clone https://github.com/your-org/aarnadlr-mcu-mcp-server.git
2. Change into the project directory: cd aarnadlr-mcu-mcp-server
3. Install dependencies: npm install
4. Configure environment (optional):
   • PORT: port to run the server on (default depends on code)
   • MCP_BASE_PATH: base MCP path, default is /mcp
5. Start the server: npm start or if a start script is not defined, run: node server.js
6. Verify the server is running by visiting http(s)://<host>:<port>/mcp or by using an MCP client to connect to /mcp.

Notes:

• Ensure the MCP path /mcp is reachable from clients (reverse proxies should forward the /mcp path correctly).
• If you encounter CORS or network issues, verify that the server binds to the correct interface and that any firewalls allow the port.
• If the server logs show errors about missing seed or invalid color values, check the input format for the MCP messages.
• The tool generates a color scheme based on the provided seed color; typical outputs include a palette with variations derived from the seed.
• You can customize the PORT and MCP_BASE_PATH via environment variables when deploying (e.g., in Docker or cloud environments).