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How to Use the ZoomInfo MCP in OpenAI Agents SDK

Build reliable agents with OpenAI Agents SDK. Search and enrich B2B data without leaving your system.

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OpenAI Agents SDK

Connect ZoomInfo MCP to OpenAI Agents SDK

Create your Vinkius account to connect ZoomInfo 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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Search Leads With ZoomInfo MCP Server

The `search_companies` tool lets you query company records directly from the agent. You get instant lists of target organizations, which is perfect for populating initial prospect pools. It also supports finding contacts using `search_contacts`, so your agents can build out profiles quickly. This keeps all lead data processing contained within your deployed system.

Enrich Data Using ZoomInfo MCP Server

Need to flesh out existing records? Just invoke `enrich_company` or `enrich_contact`. The tool takes basic identifiers and returns full details, like employee counts or specific contact roles. This means your agents don't just find leads; they prepare them for the sales team. It’s a huge time saver compared to manually checking data points.

Get Market Insights With ZoomInfo MCP Server

Use `get_company_news` when you need to know what's happening at a prospect right now. The agent pulls the latest company news, giving context beyond just name and size. Furthermore, you can check intent signals with `search_intent`. This helps your agents understand if a company is actively researching a topic before you even talk to them.

Setup guide

Set up ZoomInfo 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. 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. 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 ZoomInfo tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ZoomInfo. 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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place for every integration

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

Common questions about ZoomInfo MCP in OpenAI Agents SDK

The agent discovers the available tools automatically. You just pass the MCP Server instance, and your agents know how to call `search_companies` or `enrich_contact`. It's built for production deployment.
It handles tracing through the entire process. While you manage your API keys, the agent structure helps you monitor usage via `get_usage`, making it easier to build in guardrails.
This MCP Server primarily handles Company records and Contact records. You can search for both via dedicated tools, allowing your agents access to structured B2B intelligence.
You run the `list_intent_topics` tool directly. This shows you what high-level intent categories are available, helping your agents scope a search before they hit the main data endpoints.
The server handles Company records and Contact records. You can query these types to build out detailed prospect lists.

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