수정본

mcp-server/main.py

@@ -118,6 +118,9 @@ async def health_check():
     return {
         "status": "healthy",
         "ai_provider": settings.AI_PROVIDER,
+        "hybrid_ai_enabled": settings.HYBRID_AI_ENABLED if settings.AI_PROVIDER == "claude" else False,
+        "claude_model": settings.CLAUDE_MODEL,
+        "claude_haiku_model": settings.CLAUDE_HAIKU_MODEL,
         "claude_configured": bool(settings.ANTHROPIC_API_KEY),
         "gemini_configured": bool(settings.GEMINI_API_KEY),
     }
@@ -252,6 +255,39 @@ async def analyze(request: AnalysisRequest):
             result = await ai_client.generate_trade_journal(trade_info, market_data)
             return {"analysis_type": analysis_type, "result": result}
 
+        elif analysis_type == "BATCH_STOCK_ANALYSIS":
+            stocks = data.get("stocks")
+            if not stocks or not isinstance(stocks, list):
+                raise HTTPException(
+                    status_code=400,
+                    detail="stocks (list) is required"
+                )
+            result = await ai_client.analyze_batch_stocks(stocks)
+            return {"analysis_type": analysis_type, "result": result}
+
+        elif analysis_type == "NEWS_SENTIMENT":
+            stock_code = data.get("stock_code")
+            stock_name = data.get("stock_name")
+            news_titles = data.get("news_titles")
+            if not stock_code or not stock_name or not news_titles:
+                raise HTTPException(
+                    status_code=400,
+                    detail="stock_code, stock_name, and news_titles are required"
+                )
+            result = await ai_client.check_news_sentiment(stock_code, stock_name, news_titles)
+            return {"analysis_type": analysis_type, "result": result}
+
+        elif analysis_type == "DAILY_REVIEW":
+            trades_summary = data.get("trades_summary")
+            market_summary = data.get("market_summary")
+            if not trades_summary or not market_summary:
+                raise HTTPException(
+                    status_code=400,
+                    detail="trades_summary and market_summary are required"
+                )
+            result = await ai_client.review_daily_trades(trades_summary, market_summary)
+            return {"analysis_type": analysis_type, "result": result}
+
         else:
             raise HTTPException(
                 status_code=400,