mcp-pallete

mcp-pallete

3.1

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This document provides a guide for setting up a Model Context Protocol (MCP) server with a focus on integrating the IMAGGA API for image processing tasks.

The Model Context Protocol (MCP) server is designed to facilitate the integration of various tools and APIs with language models, enabling them to perform complex tasks such as image processing, data analysis, and more. This particular setup involves using the IMAGGA API to generate color palettes from images, which can be utilized by language models like Claude. The server configuration involves setting up the MCP server with the necessary dependencies, obtaining API keys from IMAGGA, and configuring the server to run with these credentials. Once set up, the server can process images and return color palettes, which can be used in various applications, including design and art projects.

Features

  • Integration with IMAGGA API for image processing.
  • Configurable server setup with environment variables.
  • Ability to generate color palettes from images.
  • Support for running with different language models.
  • Customizable command and argument settings for server execution.