Alpha Vantage MCP. Quant Data, Indicators, and Sentiment on Demand
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Alpha Vantage connects your AI agent directly to global financial markets. Pull real-time stock quotes, deep historical time series (daily, weekly, intraday), complex technical indicators like RSI and MACD, company fundamentals, and crypto/forex rates—all in one place.
What your AI agents can do
Get company overview
Retrieves basic financial data and company fundamentals, useful for initial screening of stocks.
Get crypto daily
Gets the daily closing price history for any specified cryptocurrency pair (e.g., BTC/USD).
Get daily time series
Pulls historical stock prices on a day-by-day basis, allowing you to view 20+ years of data.
Instantly retrieve current trading prices and key metrics for any publicly traded stock.
Get structured price data spanning daily, weekly, monthly, or intraday intervals over decades of history.
Run standard quantitative models like RSI and SMA to determine if a stock is trending strongly or nearing an extreme.
Pull fundamental data, including market cap, PE ratios, and historical earnings reports for deep company analysis.
Fetch recent news articles related to a ticker symbol and calculate the overall bullish or bearish sentiment score.
Access daily rates for cryptocurrency pairs and major foreign exchange currency movements (Forex).
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Alpha Vantage: 13 Tools for Deep Financial Analysis
Use these tools to perform everything from checking current stock quotes to analyzing multi-year trends, sentiment scores, and complex market indicators.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Alpha Vantage on Vinkius019d8415get company overview
Retrieves basic financial data and company fundamentals, useful for initial screening of stocks.
019d8415get crypto daily
Gets the daily closing price history for any specified cryptocurrency pair (e.g., BTC/USD).
019d8415get daily time series
Pulls historical stock prices on a day-by-day basis, allowing you to view 20+ years of data.
019d8415get earnings
Retrieves the history of company earnings reports, showing if the company met or missed analyst expectations.
019d8415get forex daily
Provides daily opening, high, low, close, and volume data for major foreign exchange currency pairs (e.g., EUR/USD).
019d8415get intraday time series
Gets highly granular price movement data at specific intervals like 5-minute or 60-minute bars, ideal for day trading.
019d8415get monthly time series
Returns prices aggregated by month, which is best for checking long-term trends and portfolio performance over years.
019d8415get news sentiment
Analyzes recent news articles about a ticker and calculates whether the overall mood is bullish or bearish.
019d8415get quote
Fetches the immediate, current trading price of a stock, including today's change percent.
019d8415get rsi
Calculates the Relative Strength Index (RSI) to measure if a security is overbought or oversold based on its momentum.
019d8415get sector performance
Shows the current day's percentage change across all major industry sectors, helping you spot market leaders.
019d8415get weekly time series
Provides historical stock prices aggregated by week, useful for medium-term trend analysis without needing daily data.
019d8415search symbol
Looks up a company name or keyword and returns the correct trading symbol needed for all other queries.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Alpha Vantage, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Alpha Vantage. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 13 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Getting a full picture of market health used to be a nightmare.
Today, checking the overall market requires opening five different tabs. You need one for general news headlines, another for current sector leaders, and then you have to manually switch out between daily stock quotes and monthly charts just to build a picture of volatility. It's time-consuming copy-pasting.
With this MCP, your agent handles the orchestration. Instead of clicking through dashboards or piecing together data points from disparate sources, you ask one question—like 'How has the Tech sector performed relative to its historical average?' and get a clean, calculated answer back.
The `get_rsi` tool gives you instant signal confirmation.
Before this MCP, determining if momentum was strong enough for a trade meant running the calculation in specialized software and interpreting complex indicator lines manually. You'd have to wait until market close just to get a basic picture of overbought/oversold conditions.
Now, you ask your agent to calculate `get_rsi` directly within the conversation flow. It returns the exact number—say, 72—and tells you what that means in plain language. The difference is speed and integration.
What you can do with this MCP connector
You can explore any major market using natural conversation via this MCP. Need to compare the current price of Apple against its 5-year average? Your agent pulls that data immediately. Want to know if a stock's recent news is making it look overbought or oversold? It runs sentiment analysis and calculates indicators on the fly.
This tool handles everything from basic real-time quotes to detailed company financial health checks, covering market capitalization, earnings history, and sector performance across 11 industries. When you connect this MCP through Vinkius, your AI client becomes a dedicated quantitative analyst, giving you access to global data without ever leaving your chat window.
019d8415-7aa8-73b5-aff8-32326087054e 
How Alpha Vantage MCP Works
- 1 Subscribe to this MCP on Vinkius, then provide your Alpha Vantage API Key.
- 2 Ask your AI client a question like, 'What was the 30-day RSI for TSLA?'
- 3 Your agent calls the relevant function and returns structured data containing the calculated indicator or price point.
The bottom line is you get immediate, actionable financial metrics without writing any code yourself.
Who Is Alpha Vantage MCP For?
Anyone who spends time looking at charts and numbers—from the junior analyst building their first model to the senior portfolio manager needing a quick sanity check. If your job involves reading market reports, this MCP is mandatory.
Runs multi-factor models by combining get_rsi outputs with historical data from get_daily_time_series to spot high-conviction entry points.
Researches target companies by cross-referencing get_company_overview metrics against get_news_sentiment scores before presenting a buy/sell recommendation.
Integrates real-time data streams into custom applications, using tools like get_intraday_time_series to power live dashboards for clients.
What Changes When You Connect
- Stop opening multiple financial terminals. You can pull real-time quotes using
get_quoteand then immediately compare that data to years of historical movement fromget_daily_time_seriesin one chat session. - Need to know if a stock is overbought? Instead of running complex calculations, simply call
get_rsi. It gives you the exact momentum signal needed for trading decisions. - Don't just look at prices. Use
get_news_sentimentto see how public opinion is affecting the ticker right now, giving your analysis context beyond pure numbers. - For portfolio management, use
get_sector_performance. This lets you quickly identify which industry—like Technology or Healthcare—is leading the market today without manually checking 11 different dashboards. - Developers can build complex financial tools by using specialized data points. For instance, combining a company's fundamentals from
get_company_overviewwith their earnings history viaget_earningscreates a powerful research packet.
Real-World Use Cases
The Day Trader Spotting Momentum
A day trader needs to assess if a stock is ready for action. They first check the current price with get_quote, then zoom into 5-minute bars using get_intraday_time_series. Finally, they run get_rsi to confirm that momentum is building before placing an order.
The Investor Checking Corporate Health
An investor vetting a potential buy checks the company's long-term stability. They use get_company_overview for market cap, then check get_earnings to see if quarterly revenue beats estimates over the last five years.
The Global Hedge Fund Manager
A manager needs a full view of global risk. They use get_forex_daily for currency rates, check get_crypto_daily for digital asset movements, and compare all against the current market sectors using get_sector_performance.
The Student Learning Technical Analysis
A student learns about long-term trends. They pull monthly data via get_monthly_time_series, then ask their agent to compare that trend against the current sector performance using get_sector_performance.
The Tradeoffs
Using a general search engine for prices
Searching 'AAPL stock price today' only gives you one static number and zero context about historical volatility or technical signals.
→
You need to use the MCP. Start by running get_quote for real-time data, then immediately follow up with get_daily_time_series to give that current quote its proper historical context.
Confusing crypto and stock rates
Trying to get Ethereum's daily price history using the standard stock time series tool will fail, as it’s a different asset class.
→
Use get_crypto_daily specifically. This function handles all cryptocurrency symbols and currencies correctly.
Ignoring context when checking fundamentals
Simply running get_company_overview is a good start, but it gives no idea if the market thinks the company is doing well.
→
Always follow up fundamental checks with get_news_sentiment. This validates whether the current public mood supports the strong numbers you just pulled.
When It Fits, When It Doesn't
Use this MCP when your analysis requires structured, time-indexed, or calculated financial data. If you need a single number—like 'What is the price of AAPL right now?'—then get_quote works. However, if you are building an argument (e.g., 'AAPL's current price is high, but its 50-week average from get_daily_time_series suggests it's due for a pullback, and the news sentiment is negative'), then this MCP is mandatory because it connects multiple data points into one workflow. Don't use this if you just need to know if Apple has good management; use that company's annual report directly instead. But if you want to quantify its performance against historical peers, this tool is the answer.
Common Questions About Alpha Vantage MCP
How do I get an Alpha Vantage API key? +
Visit alphavantage.co/support/#api_key, fill in your name and email, and click GET FREE API KEY. The key is delivered instantly on the page. Free tier includes 25 requests per day.
What technical indicators are available? +
Alpha Vantage supports 50+ technical indicators including SMA, EMA, RSI, MACD, Bollinger Bands, Stochastic, ADX, ATR, CCI, Williams %R, and many more. Currently this MCP server exposes RSI, with more indicators available on request.
Can I get cryptocurrency data? +
Yes! Use get_crypto_daily with the crypto symbol (e.g. 'BTC', 'ETH', 'SOL') and market currency (e.g. 'USD', 'EUR'). Returns daily OHLCV data for the cryptocurrency pair.
How much historical data is available? +
Alpha Vantage provides 20+ years of historical data for most stocks. Use the get_daily_time_series tool with outputsize 'full' to access the complete history. The compact mode returns the last 100 data points.
How do I use the get_earnings tool to check a company's financial history? +
The get_earnings tool provides historical earnings data, helping you spot trends. You can run this for any ticker symbol to review past quarterly reports and see if the company has been beating or missing analyst expectations.
What does get_sector_performance tell me about the market? +
This tool gives a real-time snapshot of how all 11 major market sectors are performing. It returns change percentages, allowing you to quickly identify which industries are leading or lagging in today's trading session.
When should I use get_intraday_time_series instead of get_daily_time_series? +
You need get_intraday_time_series when you are day trading or analyzing short-term volatility. This tool provides price data at granular intervals like 1, 5, or 15 minutes, which daily data cannot capture.
How do I use search_symbol if I don't know the correct stock ticker? +
The search_symbol tool helps you find the precise symbol for any company. Simply provide keywords, and it returns best matches along with their type and region to ensure your subsequent price queries are accurate.
Multi-server workflows that include Alpha Vantage MCP
Build Data-Backed Investment Theses Using MCP
Funding trends mapped, public market multiples benchmarked, sector thesis documented , build your investment thesis on data, not slides
MCP Recipe for Investment Performance Tracking
Holdings imported, live prices applied, performance calculated with proper time-weighting , your investment returns measured, not guessed
MCP Recipe for Macro Portfolio Correlation
Fed rates tracked, sector performance pulled, macro-to-market correlation built , invest with the economic cycle, not against it
MCP Servers for Real-Time Stock Portfolios
Live stock quotes pulled, portfolio value calculated, daily P&L on your phone , track your portfolio without opening a brokerage app
MCP Servers for Stock Screening by Sentiment
Stock fundamentals pulled, news sentiment scored, screener results in your spreadsheet , find undervalued stocks without the noise
Track Real-Time Portfolio Valuations Using MCP
Cap table pulled, public comps priced, portfolio marks updated , know what your startup investments are worth today, not last quarter
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.