How to Use the EODHD Financial MCP in Pydantic AI
Get type-safe financial data from EODHD Financial in Pydantic AI agents with strict runtime validation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EODHD Financial MCP to Pydantic AI
Create your Vinkius account to connect EODHD Financial to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Strict type-safe market data for Pydantic AI
Every response from `get_realtime_price` is validated against your Pydantic models the moment it hits your agent. If the EODHD Financial API returns malformed or unexpected data, the agent crashes immediately instead of proceeding with bad math. This enforces a hard contract between the financial data and your decision logic. You define the schema, and the framework ensures the data conforms to it.
Verified historical data ingestion
Retrieve historical price data with `get_eod_data` while relying on Pydantic AI to catch schema drift. You receive high, low, and volume metrics as structured types rather than loose dictionaries. This prevents silent failures during backtesting. If a field is missing or the format changes, your agent stops and alerts you, protecting your logic from corrupted inputs.
Corporate action validation for Pydantic AI
Integrate `get_dividends` and `get_splits` safely by letting the framework validate the returned dates and ratios. Pydantic AI confirms the data matches your expected model before the agent attempts to use it. This creates a robust environment for building automated financial monitors. You define the types, the server provides the data, and the framework ensures the integrity of the process.
Set up EODHD Financial MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"eodhd-financial-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to EODHD Financial tools.",
)
result = await agent.run("List recent EODHD Financial transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EODHD Financial Data. 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.
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Common questions about EODHD Financial MCP in Pydantic AI
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