mcp-pallete

0
0 Reviews
0 Stars
mcp-pallete is a lightweight MCP server designed to analyze images, extract their color data, and create PNG palettes for use in various projects.
Added on:
Created by:
Apr 12 2025
mcp-pallete

mcp-pallete

0 Reviews
0
0
mcp-pallete
mcp-pallete is a lightweight MCP server designed to analyze images, extract their color data, and create PNG palettes for use in various projects.
Added on:
Created by:
Apr 12 2025
Olga Lipina
Featured

What is mcp-pallete?

mcp-pallete provides a straightforward solution for image color analysis by extracting dominant colors from images and generating PNG palettes. It easily integrates into workflows requiring color palette creation from images, suitable for game development, design, or artistic projects. The server is configurable via a JSON file, supporting dependencies like IMAGGA API for enhanced image analysis. It is built with Python, ensuring performance and flexibility. Users can quickly set up the service, upload images, and retrieve color palettes in PNG format, making it ideal for developers and designers needing quick color referencing tools.

Who will use mcp-pallete?

  • Game developers
  • Graphic designers
  • UI/UX designers
  • Artists
  • Software developers

How to use the mcp-pallete?

  • Step1: Install dependencies using 'uv sync'
  • Step2: Configure the MCP server with your IMAGGA API keys in the JSON file
  • Step3: Restart your MCP server or LLM of choice
  • Step4: Upload images for analysis through supported interface
  • Step5: Retrieve generated PNG color palettes from the output

mcp-pallete's Core Features & Benefits

The Core Features
  • Extract image colors
  • Generate PNG color palettes
  • Configure via JSON with API keys
  • Simple image upload and processing
The Benefits
  • Quick palette generation
  • Easy integration into workflows
  • Supports image analysis enhancements
  • Customizable setup and API support

mcp-pallete's Main Use Cases & Applications

  • Game asset creation with color palettes
  • Design prototype color referencing
  • Digital art projects requiring color schemes
  • UI color theming and customization

FAQs of mcp-pallete

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

File Systems

Builds supplemental UI and resource files for client apps, enabling rich media asset integration with visual rendering.
Utilizes Jupyter notebooks to interact with MCP servers, filesystems, and memory for complex automation and data tasks.
Enables AI agents to securely read PDF files and extract text, metadata, and page counts via Node.js/TypeScript.
A set of tools for managing and analyzing MCP PDF documents with server and client components.
Provides secure, relative filesystem access for AI agents with batch operations and detailed error reporting.
A Rust-based client for Minecraft patching, enabling file updates and game modifications efficiently.
Provides secure, relative filesystem access for AI agents like Cline and Claude via Node.js server.
A filesystem MCP server enabling an LLM to read and list local directory files for AI integration.
A Node.js MCP server for reading, listing, and searching Excel files within specified directories.
A server for managing plugin communication in Alist, supporting functions like plugin integration and data exchange.