Alpha Vantage MCP. Cross-reference price action with fundamentals and sentiment.

Alpha Vantage connects your AI client to global financial markets. You'll pull real-time quotes, deep historical price action (OHLCV), calculated indicators, corporate financials, and sector performance—all in one chat.

You don't need to switch between Bloomberg terminals or run complex Python scripts just to check a few numbers. This server gives your agent the whole playbook: it pulls the data, calculates the metrics, and hands you the answer.

What You Can Do With It

Checking Live Prices: Need to know what's happening right now? Use get_quote to pull the current live trading quote for any stock symbol. That gives you immediate change metrics and volume data. If you want to see how a whole market segment is doing, use get_sector_performance; it shows the real-time percentage gain or loss across all eleven major sectors.

Tracking Price Action (Time Series): You've got options for every timeline. Use get_daily_time_series to grab historical stock OHLCV data at a daily interval, and you can pull up to twenty years of history that way. If you're looking further back, get_monthly_time_series gives you aggregated monthly prices, which is perfect for long-term trend spotting.

For week-to-week analysis, use get_weekly_time_series. When you need short-burst data for day trading—like 1m or 5m intervals—the get_intraday_time_series tool retrieves that specific price action. You can also track foreign exchange rates using get_forex_daily, which provides daily OHLCV points for pairs like EUR to USD, and the same goes for crypto with get_crypto_daily, pulling those records for specified cryptocurrency pairings.

Technical Analysis: Don't eyeball charts; let your agent calculate it. Use get_rsi to figure out the Relative Strength Index (RSI) value, which tells you if an asset is overbought or oversold based on momentum. You can also get core company data using get_company_overview, pulling key metrics like market cap and P/E ratio for fundamental analysis.

When you want a deeper dive into a company's financial health, use get_earnings to retrieve past earnings reports and performance history.

Finding Symbols & News: Don't guess symbols; just let your agent look them up first. Run search_symbol with a keyword—it tells you the correct financial symbol name and asset type for accurate pricing queries. For context, use get_news_sentiment; this fetches recent news articles related to any ticker, giving you summary titles alongside quantitative bullish or bearish sentiment scores.

How This Works In Practice

You connect your AI client to the server on Vinkius and provide your API key. Your agent handles everything else. You simply ask it a question—like, 'What's the RSI for NVDA given its earnings history?'—and the system automatically runs get_rsi, pulls data via get_earnings, and spits out the full answer without you writing a line of code.