# requirements.txt
# MCP數據可視化服務器依賴包# 核心MCP包
mcp>=0.1.0# 數據處理
pandas>=2.0.0
numpy>=1.24.0# 可視化
matplotlib>=3.7.0
seaborn>=0.12.0# 異步支持
asyncio-mqtt>=0.13.0# JSON處理
jsonschema>=4.17.0# 圖像處理
Pillow>=9.5.0# 可選：更多數據處理工具
scipy>=1.10.0
scikit-learn>=1.3.0---# config.json
# MCP服務器配置文件
{"server": {"name": "data-visualization","version": "1.0.0","description": "智能數據可視化MCP服務器","capabilities": {"tools": true,"resources": false,"prompts": false}},"datasets": {"auto_load": true,"sample_data": true,"formats_supported": ["csv", "json", "excel"]},"visualization": {"default_style": "default","figure_size": [12, 8],"dpi": 300,"formats": ["png", "svg", "pdf"]},"tools": {"list_available_datasets": {"enabled": true,"description": "列出所有可用數據集"},"get_dataset": {"enabled": true,"max_rows": 10000,"description": "獲取數據集內容"},"analyze_data_structure": {"enabled": true,"include_statistics": true,"description": "分析數據結構和特征"},"suggest_visualization": {"enabled": true,"intelligent_selection": true,"description": "智能推薦可視化方案"},"create_chart": {"enabled": true,"supported_types": ["line", "bar", "scatter", "pie", "heatmap", "box"],"description": "創建數據可視化圖表"},"get_data_insights": {"enabled": true,