How to Use the Captain Data MCP in OpenAI Agents SDK

Q: Can Captain Data help my OpenAI Agents SDK agent find specific contacts?

Yes, your agent can call findpeople to resolve names to specific profiles. It turns a vague request into a precise API hit.

Q: Will my OpenAI Agents SDK agent know when Captain Data hits a quota?

Absolutely. Your agent can check getapiquotas to monitor usage before triggering a heavy batch job. It prevents your agent from failing mid-task.

Inject Captain Data into your OpenAI Agents SDK pipeline to pull lead firmographics and contact profiles without writing glue code.

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Connect Captain Data MCP to OpenAI Agents SDK

Create your Vinkius account to connect Captain Data 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 Captain Data with OpenAI Agents SDK

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Automated Lead Enrichment for OpenAI Agents SDK

Trigger `enrich_person` or `enrich_company` during your agent's execution flow to grab live data. The SDK handles the heavy lifting, ensuring your agent gets clean, structured output directly from the Captain Data API. Since you're using the OpenAI Agents SDK, your agent validates every call before it fires. This prevents bad data from hitting your production database, keeping your agent logic tight and predictable.

Search and Discovery via OpenAI Agents SDK

Use `find_people` or `search_companies` to let your agent hunt for prospects based on your specific criteria. It maps your natural language intent into the correct API call automatically. Your agent can now scan for companies by location or size using `search_companies` without you manually checking the docs. It just works, and you get the results back in your agent's context window.

Monitor Automation Jobs in OpenAI Agents SDK

Keep tabs on your scraping and extraction tasks using `list_automation_jobs` and `get_job_details`. It keeps your agent aware of progress without polling external dashboards. When a job finishes, your agent can pull the results via `get_job_details` and move to the next step. This tight loop makes your agent a self-correcting machine.

Setup guide

Set up Captain Data 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 Captain Data tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Captain Data 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="Captain Data Agent",
            instructions="You have access to Captain Data 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 Captain 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 Captain Data MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Just pass the Vinkius endpoint into your agent constructor and let the SDK handle the tool discovery.

Yes, your agent can call `find_people` to resolve names to specific profiles. It turns a vague request into a precise API hit.

Absolutely. Your agent can check `get_api_quotas` to monitor usage before triggering a heavy batch job. It prevents your agent from failing mid-task.

No, it's plug-and-play. You define the server connection once, and the SDK maps all 11 tools automatically.

Your data stays private. We use TLS for transit and enforce strict token-based auth for every request this MCP Server handles, protecting your contact lists from unauthorized access.

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