# Alpha Vantage MCP for AI Agents MCP > Alpha Vantage delivers real-time stock quotes, historical time series data (daily, weekly, monthly), technical indicators like RSI, company financials, and crypto/forex rates directly to your AI client. It lets you analyze global markets by talking to your agent. ## Overview - **Category:** data-analytics - **Price:** Free - **Tags:** stock-market, forex, cryptocurrency, technical-indicators, time-series-data, financial-analysis ## Description Think of this MCP as a dedicated market analyst hooked up to the world's financial wires. Instead of opening complex trading terminals or navigating multiple data sources, you just ask your AI client a question—like, “What’s happening with oil stocks and Bitcoin today?” The system pulls together current prices, historical trends, sector performance, and even news sentiment into one answer. It lets you deep-dive into any market. Need to check how profitable a company is? Use the fundamental data tools. Want to predict short-term movements? Run technical indicators like RSI or MACD on intraday data. You can compare stock performance across all 11 major sectors, track forex rates, or analyze crypto volatility—all from natural conversation. It’s about getting actionable market intelligence without the overhead of multiple platforms. Just connect this MCP through Vinkius and let your AI agent handle the heavy lifting. ## Tools ### get_company_overview Retrieves fundamental data points like the company's market cap, P/E ratio, and general corporate overview for initial screening. ### get_crypto_daily Fetches daily price movement records for any specified cryptocurrency pair (e.g., BTC to USD). ### get_daily_time_series Gets the standard daily stock OHLCV data, allowing you to choose between compact (last 100 points) or full historical records. ### get_earnings Provides a history of a company's reported earnings figures, helping identify consistent growth patterns. ### get_forex_daily Returns daily OHLCV data for foreign exchange pairs, tracking the movement between two currencies like EUR and USD. ### get_intraday_time_series Gathers granular price data at specific intervals (1 min, 5 min, etc.), which is essential for day traders analyzing short-term shifts. ### get_monthly_time_series Provides summary data points representing each month of trading, ideal for reviewing long-term portfolio health and trends. ### get_news_sentiment Analyzes recent news articles about a ticker, scoring the overall sentiment as bullish or bearish. ### get_quote Pulls current trading data immediately, including the day's change and percentage movement from yesterday's close. ### get_rsi Calculates the Relative Strength Index (RSI) on various timeframes to determine if a security is overbought or oversold. ### get_sector_performance Shows the current percentage change and performance metrics across all 11 major market sectors. ### get_weekly_time_series Returns data points summarizing a week of trading, useful for medium-term trend analysis without getting bogged down in daily noise. ### search_symbol Finds the correct stock symbol by name or keyword to ensure you're querying the right asset before pulling any data. ## Prompt Examples **Prompt:** ``` Show me the current quote and recent news sentiment for NVDA. ``` **Response:** ``` **NVIDIA Corporation (NVDA)** * **Current Quote:** $912.50, up 4.8% today. Range: $900 - $915. * **Recent Sentiment Score:** Bullish (78/100). The news is dominated by reports of AI chip demand and successful partnerships. 📊 *Summary:* Strong momentum supported by positive industry news. ``` **Prompt:** ``` Compare the historical performance of BTC vs Gold. ``` **Response:** ``` **Bitcoin (BTC) vs. Gold (XAU)** | Timeframe | BTC Daily Change (%) | XAU Weekly Change (%) | | :---: | :---: | :---: | | Last 4 Weeks | +12.5% | -3.1% | *Interpretation:* Bitcoin has shown significantly stronger gains over the past month compared to Gold, indicating a shift in investment appetite. ``` **Prompt:** ``` What are the biggest money movers right now? ``` **Response:** ``` Based on current data: 🏆 **Technology Sector:** +2.1% (Leading performance due to semiconductor demand.) 🏥 **Healthcare Sector:** +1.5% (Driven by new biotech funding announcements.) 📉 **Energy Sector:** -0.3% (Oil prices stabilizing after recent peaks.) *Action:* Technology is currently the strongest area for gains. ``` ## Capabilities ### undefined undefined ### undefined undefined ### undefined undefined ### undefined undefined ### undefined undefined ### undefined undefined ### undefined undefined ## Use Cases ### Vetting a new investment idea An investor asks their agent: 'What's the story behind stock X?'. The agent runs get_company_overview to check financials, then uses get_news_sentiment to gauge public feeling, and finally checks get_monthly_time_series to see long-term trends. It gives a full picture in minutes. ### Day trading analysis A trader needs immediate action points. They ask the agent to run get_intraday_time_series and get_rsi on that asset. The agent flags if it's overbought or oversold based on 5-minute data, letting them make a quick decision. ### Portfolio health check An investor needs to know where their money is going. They ask for sector performance and get_forex_daily rates, giving them an instant view of global risk exposure across different asset classes. ### Comparing crypto vs. stocks A developer asks the agent to compare BTC's daily price (get_crypto_daily) against a major tech stock's weekly movement (get_weekly_time_series). This comparison informs them how to structure their cross-asset analysis code. ## Benefits - Immediate market clarity: Get the current quote instantly using get_quote, saving you from navigating multiple data tabs just to check a price. - Deep trend analysis: Calculate indicators like RSI or MACD with get_rsi on different timeframes, moving beyond simple price checks into true technical analysis. - Comprehensive research: Pull company fundamentals via get_company_overview and detailed earnings history using get_earnings for full-spectrum investment vetting. - Multi-asset comparison: Compare crypto volatility (get_crypto_daily) against traditional sector movements (get_sector_performance) in one conversation. - Efficiency in data retrieval: Use tools like get_daily_time_series and get_monthly_time_series to pull massive amounts of structured historical data without manual scraping or complex API calls. ## How It Works The bottom line is that once connected, you treat market analysis like conversation, letting your AI client run complex financial queries instantly. 1. Subscribe to this Alpha Vantage MCP on Vinkius and input your personal API key, which you get from the provider. 2. Your AI client connects using that key. You're ready to go; no setup needed within the chat interface itself. 3. You simply ask your agent a question—like, 'Show me Tesla's RSI over the last 14 days.' The MCP executes the request and returns clean, structured data. ## Frequently Asked Questions **How can I use Alpha Vantage MCP to track daily stock quotes and indicators?** You just ask your agent for it. It pulls the current price, volume, and key technical metrics like RSI or MACD automatically. This gives you a full picture of whether the stock is currently overbought or oversold. **Does Alpha Vantage MCP help me compare different asset types?** Yes, it handles multiple classes in one place. You can compare crypto rates (like BTC) against traditional stocks and even monitor forex pairs all using the same conversation flow. **What if I need long-term data for research?** You don't have to manually pull decades of records. The MCP lets you specify time frames, giving you monthly or full historical OHLCV data spanning over 20 years for deep analysis. **Is Alpha Vantage MCP useful for developers building apps?** Absolutely. It provides structured market feeds using tools like get_daily_time_series, allowing you to programmatically pull reliable historical and real-time data into your custom applications. **Can I check company financials and news sentiment together?** Yes. You can first use the MCP to retrieve a company's fundamentals (market cap, P/E ratio) and then instantly cross-reference that with recent news articles to understand if the market narrative matches the financial reality.