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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up ZoomInfo MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives ZoomInfo tools as native definitions — JSON schemas resolve automatically. - 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.
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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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 ZoomInfo MCP in OpenAI Agents SDK
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