How do I get an Alpha Vantage API key?

Visit [**alphavantage.co/support/#api_key**](https://www.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.

Alpha Vantage MCP Server for CrewAI 13 tools — connect in under 2 minutes

Name: Alpha Vantage
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 13 Tools Framework

Connect your CrewAI agents to Alpha Vantage through Vinkius, pass the Edge URL in the `mcps` parameter and every Alpha Vantage tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Alpha Vantage Specialist",
    goal="Help users interact with Alpha Vantage effectively",
    backstory=(
        "You are an expert at leveraging Alpha Vantage tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Alpha Vantage "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 13 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Alpha Vantage MCP Server

Connect to Alpha Vantage APIs through any AI agent and explore global financial markets through natural conversation.

When paired with CrewAI, Alpha Vantage becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Alpha Vantage tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Real-Time Quotes — Get current stock prices, volume, high/low, open and previous close
Time Series — Access daily, weekly, monthly and intraday OHLCV data with 20+ years of history
Technical Indicators — Calculate RSI, SMA, EMA, MACD, Bollinger Bands and 50+ other indicators
Company Fundamentals — Retrieve company overview, market cap, PE ratio, EPS and earnings history
Sector Performance — Monitor real-time performance of all 11 market sectors
News Sentiment — Fetch news articles with sentiment scores for stock tickers
Crypto & Forex — Get daily cryptocurrency and foreign exchange rate data

The Alpha Vantage MCP Server exposes 13 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Alpha Vantage to CrewAI via MCP

Follow these steps to integrate the Alpha Vantage MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 13 tools from Alpha Vantage

Why Use CrewAI with the Alpha Vantage MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Alpha Vantage through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Alpha Vantage + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Alpha Vantage MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Alpha Vantage for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Alpha Vantage, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Alpha Vantage tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Alpha Vantage against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Alpha Vantage MCP Tools for CrewAI (13)

These 13 tools become available when you connect Alpha Vantage to CrewAI via MCP:

get_company_overview

Useful for fundamental analysis and stock screening. Get company overview and fundamentals

get_crypto_daily

Requires the crypto symbol (e.g. "BTC") and the market currency (e.g. "USD"). Returns daily price data with dates. Get daily cryptocurrency prices

get_daily_time_series

Optionally set outputsize to "compact" (last 100 data points, default) or "full" (20+ years of data). Returns daily price data with dates. Get daily stock time series

get_earnings

Useful for earnings analysis and identifying beats/misses. Get earnings history for a stock

get_forex_daily

Requires the from symbol (e.g. "EUR") and to symbol (e.g. "USD"). Returns daily OHLCV forex data with dates. Get daily foreign exchange rates

get_intraday_time_series

Optionally set interval (1min, 5min, 15min, 30min, 60min) and outputsize. Returns price data at the specified interval. Useful for day trading analysis. Get intraday stock time series

get_monthly_time_series

Each data point represents a month of trading. Useful for long-term trend analysis and portfolio review. Get monthly stock time series

get_news_sentiment

Each article includes title, summary, source, sentiment scores (bullish/bearish score) and relevance score. Optionally filter by topics and limit the number of results. Get news sentiment for stock tickers

get_quote

Returns current trading data including change and change percent. Useful for quick price checks. Get real-time stock quote

get_rsi

RSI measures momentum on a 0-100 scale; above 70 indicates overbought, below 30 indicates oversold. Optionally set interval, time period and series type (close, open, high, low). Get Relative Strength Index (RSI) indicator

get_sector_performance

Returns change percentages for each sector. Get real-time sector performance

get_weekly_time_series

Each data point represents a week of trading. Useful for medium-term trend analysis. Get weekly stock time series

search_symbol

Returns best matches with symbol, name, type and region. Useful for discovering the correct symbol before querying price data. Search for stock symbols by keywords

Example Prompts for Alpha Vantage in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Alpha Vantage immediately.

"Show me the current quote for Apple stock."

"Show me the RSI for Tesla over the last 14 days."

"What are the top performing sectors today?"

Troubleshooting Alpha Vantage MCP Server with CrewAI

Common issues when connecting Alpha Vantage to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Alpha Vantage + CrewAI FAQ

Common questions about integrating Alpha Vantage MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.