How to Use the Chorus.ai (ZoomInfo) MCP in OpenAI Agents SDK

Pull Chorus.ai (ZoomInfo) call intelligence directly into your OpenAI Agents SDK production pipelines.

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Connect Chorus.ai (ZoomInfo) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Chorus.ai (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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Setup Chorus.ai (ZoomInfo) with OpenAI Agents SDK

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Fetch meeting data for OpenAI Agents SDK

Use `list_chorus_meetings` to grab recent calls and pipe them into your agent's context. Your system handles the heavy lifting by pulling raw data directly into the execution flow. Once the agent identifies a target call, `get_meeting_details` provides the specific metadata needed for your logic. It keeps your agent's internal state updated without manual input.

Process transcripts with OpenAI Agents SDK

Trigger `get_meeting_transcript` to pull the full text of any call into your agent's memory. This allows your code to perform deep analysis on what was actually said. Pair this with `get_meeting_moments` to highlight critical sections of the conversation. Your agent then maps these specific segments against your project requirements.

Track competitive intelligence via MCP Server

Invoke `list_tracked_competitors` to see which companies your team is monitoring during sales calls. This MCP Server feeds that list into your agent for real-time market awareness. Check `list_meeting_playlists` to organize these insights into logical buckets. It gives your agent a clear map of your team's shared knowledge base.

Setup guide

Set up Chorus.ai (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

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 Chorus.ai (ZoomInfo) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Chorus.ai (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 Chorus.ai (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="Chorus.ai (ZoomInfo) Agent",
            instructions="You have access to Chorus.ai (ZoomInfo) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Chorus.ai (ZoomInfo) MCP in OpenAI Agents SDK

The server exposes specific endpoints that the SDK consumes as native tools. Your agent calls these functions to pull data from your account without writing custom wrappers.

It acts as a bridge for data retrieval and analysis. You define the logic in your agent, and the server provides the necessary meeting insights.

Yes, every tool call is visible in your logs. You track how the agent interacts with your meeting data through the standard dashboard.

Vinkius manages the handshake. You provide the endpoint token, and your agent gains secure access to your account.

Your meeting transcripts stay within your defined execution environment. The server uses strict transport security to move text from your account to your agent.

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