Financial MCP Server

import yfinance as yf import httpx from datetime import datetime import os def get_market_wrap(): index_map = { "^GSPC": "S&P 500", "^IXIC": "NASDAQ", "^DJI": "DOW JONES", "^FTSE": "FTSE 100", "^N225": "Nikkei 225", "^HSI": "Hang Seng", "^BSESN": "BSE Sensex", "^FCHI": "CAC 40", "^GDAXI": "DAX", "^STOXX50E": "EURO STOXX 50" } indices_data = {} for symbol, name in index_map.items(): try: ticker = yf.Ticker(symbol) info = ticker.info indices_data[name] = { "price": f"${info.get('regularMarketPrice', 0):,.2f}", "change": f"{info.get('regularMarketChange', 0):+.2f}", "percent": f"{info.get('regularMarketChangePercent', 0):+.2f}%" } except Exception as e: indices_data[name] = {"error": str(e)} tracked_tickers = ["AAPL", "TSLA", "GOOGL", "MSFT", "AMZN", "NVDA", "META"] gainers, losers = [], [] for symbol in tracked_tickers: try: ticker = yf.Ticker(symbol) info = ticker.info change_pct = info.get("regularMarketChangePercent", 0) data = { "ticker": symbol, "price": f"${info.get('regularMarketPrice', 0):,.2f}", "change": f"{change_pct:+.2f}%" } if change_pct >= 0: gainers.append(data) else: losers.append(data) except: continue gainers = sorted(gainers, key=lambda x: float(x["change"].replace('%','')), reverse=True)[:3] losers = sorted(losers, key=lambda x: float(x["change"].replace('%','')))[:3] # Use SerpAPI for news serpapi_key = os.getenv("SERPAPI_API_KEY") news = [] if serpapi_key: try: response = httpx.get("https://serpapi.com/search.json", params={ "q": "stock market news", "tbm": "nws", "api_key": serpapi_key }) articles = response.json().get("news_results", [])[:5] news = [{"title": a["title"], "link": a["link"]} for a in articles] except Exception as e: news = [{"error": str(e)}] return { "timestamp": datetime.utcnow().isoformat() + "Z", "indices": indices_data, "top_gainers": gainers, "top_losers": losers, "news_headlines": news, "summary": "Live global market summary with top movers and headlines." }