How to Use the EODHD Financial MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK agent handle multiple tickers at once using EODHD Financial?

Yes. Use getmultiprice or gethistoricaldividends by passing a comma-separated string of symbols. The tool returns a batch response, saving your agent from making redundant individual calls.

Plug EODHD Financial data into your OpenAI Agents SDK production pipeline for reliable, type-checked market analysis.

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Connect EODHD Financial MCP to OpenAI Agents SDK

Create your Vinkius account to connect EODHD Financial to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup EODHD Financial with OpenAI Agents SDK

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Real-time ticker discovery for OpenAI Agents SDK

Stop guessing ticker formats and let your agent query the global exchange database directly. By calling `search_tickers`, the agent finds the exact symbol and exchange string needed for subsequent data requests. This workflow prevents runtime errors caused by mismatched ticker symbols. It turns a manual lookup task into a programmatic step within your agent's execution loop.

Automated price and fundamental data injection

Feed live market data into your agent using `get_realtime_price` or `get_multi_price` to inform trading logic. The SDK handles the tool discovery, allowing your agent to pull current volume, high, low, and percentage changes on demand. For deeper analysis, use `get_fundamentals` to extract valuation metrics or highlights. These tools provide the raw numbers your agent needs to justify its decisions without leaving the OpenAI Agents SDK environment.

Corporate action tracking for production agents

Monitor dividend schedules and stock splits by integrating `get_dividends` and `get_splits` into your model's context. Your agent can now track historical patterns or upcoming distributions for any ticker in the EODHD Financial database. These endpoints return structured data that the SDK processes as standard Python objects. It makes building automated reporting systems or portfolio monitors straightforward.

Setup guide

Set up EODHD Financial MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all EODHD Financial tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives EODHD Financial tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate EODHD Financial tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="EODHD Financial Agent",
            instructions="You have access to EODHD Financial tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

You initialize the server by passing the endpoint URL to the MCPServerStreamableHttp class. Once defined, you include it in the agent constructor's tool list for instant access.

Yes. Use `get_multi_price` or `get_historical_dividends` by passing a comma-separated string of symbols. The tool returns a batch response, saving your agent from making redundant individual calls.

The server pulls data directly from the source. You receive real-time and historical figures formatted for machine consumption, ensuring your agent logic relies on consistent inputs.

The SDK tracks every interaction through its internal logging mechanisms. You see the exact arguments sent to EODHD Financial and the raw JSON response returned by the server.

No. The server only fetches public market data. It does not touch your proprietary code, user credentials, or private financial records.

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