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MCP Pallete

@Anna-Pinewood

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

Anna-Pinewood

MCP Pallete について

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

MCP Pallete の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP Pallete のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

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.

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