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MCP Pallete

@Anna-Pinewood

Repository

Basic information

Category

Other

Transports

stdio

Author

Anna-Pinewood

About MCP Pallete

Simple toy mcp server which can get img colors and make png palletes from it.

MCP Pallete config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-pallete": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

MCP Pallete tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Mcp Pallete?

Mcp Pallete is an MCP server that extracts color palettes from images using the Imagga API. It is designed for AI assistants such as Claude to generate color schemes on demand.

How to use Mcp Pallete?

Install dependencies with uv sync, obtain your Imagga API key and secret from imagga.com, then add the provided configuration to your MCP client’s config JSON (under mcpServers.mcp-pallete). Finally, restart your LLM client.

Key features of Mcp Pallete

  • Extracts dominant colors from images as a palette.
  • Uses the Imagga color extraction API.
  • Runs locally via uv (Python).
  • Simple JSON configuration for MCP clients.

Use cases of Mcp Pallete

  • Generate color themes from photographs or artwork.
  • Analyze brand color usage across multiple images.
  • Provide accessibility-friendly color palettes for design tools.

Frequently asked questions

1

What dependencies does Mcp Pallete require?

It requires Python and `uv` (installed via `uv sync`) for dependency management.

2

How do I get the Imagga API keys?

Register at https://imagga.com/profile/dashboard to obtain your IMAGGA_API_KEY and IMAGGA_API_SECRET.

3

What transport does Mcp Pallete use?

The server uses stdio transport, as it is launched as a subprocess by the MCP client.

4

Can I run Mcp Pallete locally without an LLM client?

Yes, you can run `uv run src/app.py` manually, but it is intended to be used through an MCP client like Claude.

5

Is there any limit on the number of images or requests?

The README does not specify limits; usage is bound by your Imagga plan’s rate limits.

Comments

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