kyoto-assistant-mcp
A Kyoto travel planning assistant that uses Wikivoyage API and LangChain/LangGraph to provide real-time attraction info, operating hours, and dynamic itinerary adjustments through MCP tools.
README
京都旅遊助理 (Kyoto Travel Assistant)
版本: v4.1 (LangChain v1.0 + LangGraph v1.0)
風格: 完全仿照維也納旅遊助理
🎯 專案特色
- ✅ Wikivoyage API - 真實景點資料
- ✅ 營業檢查工具 - 模擬版本（可升級 Google Places）
- ✅ ReAct 策略 - Think → Act → Observe
- ✅ Planning 策略 - 動態調整行程
- ✅ LangChain v1.0 - 最新穩定 API
- ✅ LangGraph v1.0 - StateGraph 工作流
- ✅ 7 個 MCP 工具 - 完整協同
- ✅ Claude Desktop - 可重用 MCP Server
🚀 快速開始
1. 環境設置
# 建立虛擬環境
python -m venv venv
source venv/bin/activate # macOS/Linux
# 安裝套件
pip install -r requirements.txt
2. 設定 API Keys
# 複製環境變數模板
cp .env.example .env
# 編輯 .env，填入你的 API Keys
3. 測試運行
# 測試 MCP Server（稍後實現）
python mcp_server/server.py
# 測試 CLI（稍後實現）
python main.py test
📂 專案結構
kyoto-assistant/
├── src/ # Agent 相關
│ ├── agent/ # LangChain v1.0 Agent
│ ├── workflow/ # LangGraph v1.0 Workflow
│ └── cli/ # CLI 介面
├── mcp_server/ # MCP Server
│ └── tools/ # 7 個 MCP 工具
├── data/ # 資料檔案
├── output/ # 輸出檔案
└── tests/ # 測試腳本
🔧 技術棧
- LLM: Google Gemini 2.0 Flash (免費)
- 框架: LangChain 1.0.x + LangGraph 1.0.x
- MCP: Model Context Protocol 1.3.2
- Python: 3.10+
📚 使用範例
# 規劃行程
python main.py plan --days 2 --budget 25000 --interests 寺廟
# 詢問問題
python main.py ask "清水寺現在營業嗎？"
# 互動模式
python main.py interactive
🎓 學習目標
- ✅ Wikivoyage API 整合
- ✅ LangChain v1.0 API
- ✅ LangGraph v1.0 StateGraph
- ✅ MCP Server 開發
- ✅ ReAct + Planning 策略
開發中... 🚧
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