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Six Hats MCP

@Danejw

リポジトリ

Six Hats MCP について

概要はまだありません

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

Danejw

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": {
    "six-hats-mcp-server": {
      "command": "python",
      "args": [
        "setup_env.py"
      ]
    }
  }
}

ツール

6

Objective facts & data

Emotions & intuitions

Risks & critiques

Benefits & optimism

Creativity & ideas

Manager & orchestration

概要

What is Six Hats MCP?

Six Hats MCP is a full implementation of Edward de Bono's Six Thinking Hats method using FastMCP and the OpenAI Agents SDK. It provides structured thinking tools for objective facts, emotions, risks, benefits, creativity, and orchestration.

How to use Six Hats MCP?

Set up an OpenAI API key in a .env file (or run python setup_env.py), then start the server with docker-compose up --build. Visit http://localhost:8000 to access the MCP endpoints. Six tools are available: white, red, black, yellow, green, and blue.

Key features of Six Hats MCP

white: Objective facts & data
red: Emotions & intuitions
black: Risks & critiques
yellow: Benefits & optimism
green: Creativity & ideas
blue: Manager & orchestration

Use cases of Six Hats MCP

—

FAQ from Six Hats MCP

Do I need an OpenAI API key to use Six Hats MCP?

Yes, the server requires an OpenAI API key. Provide it in a .env file as OPENAI_API_KEY=your_key_here.

How do I run Six Hats MCP locally?

Use docker-compose up --build to start the server. It will listen on port 8000.

What tools does Six Hats MCP expose?

It exposes six tools corresponding to de Bono's hats: white, red, black, yellow, green, and blue. Each hat has a specific thinking role.

How can I test the server?

Run poetry run pytest --cov=app to execute tests with coverage reporting.

What transport does Six Hats MCP use?

The server uses HTTP, with MCP endpoints available at http://localhost:8000.

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