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Six Hats MCP

@Danejw

代码仓库

关于 Six Hats MCP

暂无概览

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

Danejw

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

6

Objective facts & data

Emotions & intuitions

Risks & critiques

Benefits & optimism

Creativity & ideas

Manager & orchestration

概览

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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