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EODHD Financial MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

python
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())
EODHD Financial
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your EODHD Financial integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

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.

01

Type-safe data pipelines: query EODHD Financial with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple EODHD Financial tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query EODHD Financial and output structured, schema-compliant notifications

04

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:

01

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

02

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

03

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

04

get_fundamentals

Symbol format: TICKER.EXCHANGE. Use filter parameter to request specific sections (e.g. "General,Highlights,Valuation"). Get fundamental data for a stock

05

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

06

get_historical_splits

Provide comma-separated symbols. Returns split dates and ratios for all matching tickers. Get historical stock splits for multiple tickers

07

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

08

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

09

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

10

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.

01

"What's the current price of Apple stock?"

02

"Show me Microsoft's fundamentals."

03

"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.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

EODHD Financial + Pydantic AI FAQ

Common questions about integrating EODHD Financial MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your EODHD Financial MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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.