How to Use the Intrinio MCP in OpenAI Agents SDK

Q: How do I search for tickers using Intrinio and OpenAI Agents SDK?

Your OpenAI agent will first call Intrinio's searchcompanies to find the correct internal ID or ticker. Once the OpenAI Agents SDK agent validates this identifier, it can safely query Intrinio's getfinancials or getstockprices to continue its analysis.

Q: What happens if an OpenAI Agents SDK agent requests data for an inactive ticker from Intrinio?

The Intrinio getsecurity tool will return an error or empty payload, which the OpenAI Agents SDK parses. You should instruct your OpenAI agent to fallback to Intrinio's searchcompanies to find an active alternative.

Build production-ready financial agents with OpenAI Agents SDK that pull verified stock data and company financials directly from Intrinio.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Intrinio MCP to OpenAI Agents SDK

Create your Vinkius account to connect Intrinio 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.

GDPR Free for Subscribers

Setup Intrinio with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Fast fundamental analysis with OpenAI Agents SDK

Your production OpenAI Agents SDK setup needs real-world Intrinio data to evaluate stocks. By giving your OpenAI Agents SDK setup direct access to `get_financials` and `get_company`, your agents can pull Intrinio balance sheets and company profiles instantly. The OpenAI Agents SDK automatically discovers these Intrinio tools, allowing your model to inspect raw SEC filings and employee counts without manual mapping. You don't have to write custom wrappers or handle complex parsing logic for Intrinio data in OpenAI Agents SDK. The OpenAI Agents SDK handles the discovery lifecycle, letting you pass the Intrinio MCP Server configuration directly into the agent constructor. This OpenAI Agents SDK setup ensures your financial analysis agents always work with structured, up-to-date Intrinio metrics.

Track market-moving events in real-time

Avoid stale data during critical earnings seasons by connecting Intrinio's `get_earnings_releases` and `get_ipo_calendar` to your OpenAI Agents SDK pipeline. Your specialized OpenAI Agents SDK agents can track upcoming Intrinio reports and market entrants. You can set up an OpenAI Agents SDK coordinator agent that routes these Intrinio events to execution agents, ensuring your system reacts to volatility before it hits the tape. This Intrinio MCP Server integration relies on the OpenAI Agents SDK's built-in guardrails to validate every API call before execution. Your agent can query Intrinio's `list_news` to check recent announcements and cross-reference them with actual price shifts using `get_stock_prices` while staying within your strict OpenAI Agents SDK safety constraints.

Safe security discovery using Intrinio MCP Server

Prevent your OpenAI agents from hallucinating tickers or pulling data for the wrong asset class. The Intrinio `search_companies` and `list_companies` tools let your OpenAI Agents SDK agent resolve partial names to exact tickers. From there, the agent invokes Intrinio's `get_security` to verify exchange info and asset identifiers, preventing bad trades based on ambiguous names. Because the OpenAI Agents SDK supports full tracing on its dashboard, you can audit exactly how your agent navigates from a raw Intrinio search query to a specific historical price chart. Every call to the Intrinio tools is logged, giving you complete visibility into your agent's decision-making process.

Setup guide

Set up Intrinio 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 Intrinio tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Intrinio 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="Intrinio Agent",
            instructions="You have access to Intrinio tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Intrinio. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Intrinio now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Intrinio MCP in OpenAI Agents SDK

Install the package via pip install openai-agents and initialize the Intrinio server using MCPServerStreamableHttp. You then pass this server instance directly into the OpenAI Agent constructor within an async context manager. The OpenAI agent automatically discovers the Intrinio financial tools.

Yes, you should set cacheToolsList=True in your parameter block to prevent constant Intrinio schema polling. For actual data limits, use the OpenAI Agents SDK's guardrails to throttle calls to Intrinio endpoints like get_stock_prices during high-frequency runs.

Your OpenAI agent will first call Intrinio's search_companies to find the correct internal ID or ticker. Once the OpenAI Agents SDK agent validates this identifier, it can safely query Intrinio's get_financials or get_stock_prices to continue its analysis.

The Intrinio get_security tool will return an error or empty payload, which the OpenAI Agents SDK parses. You should instruct your OpenAI agent to fallback to Intrinio's search_companies to find an active alternative.

Your Intrinio API key and financial queries run inside an isolated Vinkius V8 sandbox. No raw Intrinio financial market data or proprietary search queries are ever stored or used for OpenAI model training, keeping your quantitative strategies completely private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript