EODHD Financial MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect EODHD Financial 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 EODHD Financial "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in EODHD Financial?"
)
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 EODHD Financial MCP Server
Connect to EODHD Financial Data and access professional-grade stock market data through natural conversation.
Pydantic AI validates every EODHD Financial tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 Prices — Get current stock prices with change, volume and previous close
- Historical EOD Data — Download end-of-day price history with OHLCV data
- Fundamentals — Access P/E ratios, market cap, earnings, financial statements and analyst targets
- Dividends — View dividend payment history with ex-dividend dates and amounts
- Stock Splits — Track stock split history with split ratios
- Ticker Search — Find stock symbols by company name across global exchanges
- Multi-Ticker — Get prices for multiple stocks in one call
The EODHD Financial MCP Server exposes 10 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 EODHD Financial to Pydantic AI via MCP
Follow these steps to integrate the EODHD Financial 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 10 tools from EODHD Financial with type-safe schemas
Why Use Pydantic AI with the EODHD Financial MCP Server
Pydantic AI provides unique advantages when paired with EODHD Financial 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 EODHD Financial integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your EODHD Financial connection logic from agent behavior for testable, maintainable code
EODHD Financial + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the EODHD Financial MCP Server delivers measurable value.
Type-safe data pipelines: query EODHD Financial with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple EODHD Financial tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query EODHD Financial and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock EODHD Financial responses and write comprehensive agent tests
EODHD Financial MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect EODHD Financial to Pydantic AI via MCP:
get_dividends
Returns ex-dividend date, payment date, record date, declaration date and dividend amount per share. Symbol format: TICKER.EXCHANGE. Supports date range filtering. Get dividend history for a stock
get_eod_data
Supports daily, weekly and monthly periods. Symbol format: TICKER.EXCHANGE (e.g. "AAPL.US"). Use date_from and date_to for date range filtering. Get historical end-of-day stock data
get_exchange_symbols
Returns symbol codes, names, country and exchange info. Common exchanges: "US" (NYSE/NASDAQ), "XETRA" (Germany), "LSE" (London), "TO" (Tokyo), "PA" (Paris). Get all symbols for a specific exchange
get_fundamentals
Symbol format: TICKER.EXCHANGE. Use filter parameter to request specific sections (e.g. "General,Highlights,Valuation"). Get fundamental data for a stock
get_historical_dividends
Provide comma-separated symbols (e.g. "AAPL.US,MSFT.US,GOOGL.US"). Returns dividend dates and amounts for all matching tickers. Get historical dividends for multiple tickers
get_historical_splits
Provide comma-separated symbols. Returns split dates and ratios for all matching tickers. Get historical stock splits for multiple tickers
get_multi_price
Provide comma-separated symbols (e.g. "AAPL.US,MSFT.US,GOOGL.US"). Returns price, change and change percent for each. Get real-time prices for multiple tickers
get_realtime_price
Symbol format: TICKER.EXCHANGE (e.g. "AAPL.US" for Apple, "MSFT.US" for Microsoft, "BMW.XETRA" for BMW). Returns current price, open, high, low, close, volume, previous close, change and change percent. Get real-time stock price
get_splits
Returns split date and split ratio (e.g. "2:1" for a 2-for-1 split). Symbol format: TICKER.EXCHANGE. Get stock split history for a stock
search_tickers
Returns matching symbols with exchange, name, country and type. Useful for finding the correct symbol format for other API calls. Search for stock tickers by name or symbol
Example Prompts for EODHD Financial in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with EODHD Financial immediately.
"What's the current price of Apple stock?"
"Show me Microsoft's fundamentals."
"Get prices for AAPL, MSFT and GOOGL."
Troubleshooting EODHD Financial MCP Server with Pydantic AI
Common issues when connecting EODHD Financial to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEODHD Financial + Pydantic AI FAQ
Common questions about integrating EODHD Financial 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 EODHD Financial 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.
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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 EODHD Financial to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
