Alpha Vantage MCP Server for Pydantic AI 13 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Alpha Vantage through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Alpha Vantage "
"(13 tools)."
),
)
result = await agent.run(
"What tools are available in Alpha Vantage?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every Alpha Vantage tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Alpha Vantage MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 13 tools from Alpha Vantage with type-safe schemas
Why Use Pydantic AI with the Alpha Vantage MCP Server
Pydantic AI provides unique advantages when paired with Alpha Vantage through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Alpha Vantage integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Alpha Vantage connection logic from agent behavior for testable, maintainable code
Alpha Vantage + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Alpha Vantage MCP Server delivers measurable value.
Type-safe data pipelines: query Alpha Vantage with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Alpha Vantage tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Alpha Vantage and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Alpha Vantage responses and write comprehensive agent tests
Alpha Vantage MCP Tools for Pydantic AI (13)
These 13 tools become available when you connect Alpha Vantage to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Alpha Vantage to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAlpha Vantage + Pydantic AI FAQ
Common questions about integrating Alpha Vantage MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Alpha Vantage with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Alpha Vantage to Pydantic AI
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.