cd mcp
pip install -r requirements.txt

{
  "api_url": "http://192.168.71.22:1234/v1/chat/completions",
  "model_name": "deepseek-ai/DeepSeek-R1",
  "max_rounds": 30,
  "default_temperature": 0.1,
  "default_max_tokens": 32768
}

python server.py

{
  "mcp.servers": {
    "deepanalyze": {
      "command": "python",
      "args": ["c:/code/vscode/agents/DeepAnalyze/mcp/server.py"],
      "env": {
        "PYTHONIOENCODING": "utf-8"
      }
    }
  }
}

{
  "mcpServers": {
    "deepanalyze": {
      "command": "python",
      "args": ["C:\\code\\vscode\\agents\\DeepAnalyze\\mcp\\server.py"],
      "env": {
        "PYTHONIOENCODING": "utf-8"
      }
    }
  }
}

{
  "prompt": "請分析 sales.csv 中的銷售趨勢，並生成月度報表圖表",
  "workspace": "C:/data/analysis",
  "model_name": "DeepAnalyze-8B",
  "temperature": 0.5,
  "max_rounds": 20
}

{
  "code": "import pandas as pd\ndf = pd.read_csv('data.csv')\nprint(df.describe())",
  "workspace_dir": "C:/data/analysis",
  "timeout_sec": 60
}

{
  "workspace_dir": "C:/data/analysis"
}

{
  "file_path": "C:/data/analysis/result.txt",
  "encoding": "utf-8",
  "max_chars": 5000
}

mcp/
├── __init__.py          # 模組初始化
├── deepanalyze_core.py  # 核心功能（DeepAnalyzeVLLM 類別）
├── server.py            # MCP 服務器主程式
├── mcp_config.json      # MCP 配置範例
├── requirements.txt     # Python 依賴
└── README.md            # 說明文檔

Agent 發送請求
      ↓
MCP Server 接收
      ↓
調用 DeepAnalyzeVLLM
      ↓
┌─────────────────────┐
│  多輪推理迴圈        │
│  ┌───────────────┐  │
│  │ 模型生成回應    │  │
│  │      ↓        │  │
│  │ 提取 <Code>    │  │
│  │      ↓        │  │
│  │ 執行代碼       │  │
│  │      ↓        │  │
│  │ 回傳結果給模型  │  │
│  └───────────────┘  │
│  重複直到 <Answer>  │
└─────────────────────┘
      ↓
返回最終結果給 Agent