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How to Use the Apollo.io MCP in OpenAI Agents SDK

Build production sales agents with the OpenAI Agents SDK and Apollo.io data.

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OpenAI Agents SDK

Connect Apollo.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect Apollo.io 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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Automate outbound sequences with OpenAI Agents SDK

Your deployment needs real sales execution, not just conversational chat. Connecting this MCP Server lets your agent find target prospects using `search_contacts` and immediately drop them into active campaigns. OpenAI guardrails ensure you never spam the wrong accounts. Before the agent executes `add_contact_to_sequence`, you enforce validation checks to confirm the prospect matches your ideal customer profile.

Parse sales calls through the MCP Server

Transcripts hold massive value for account executives. Your agent pulls raw conversation data via `get_call` and feeds it directly into your specialized analysis pipelines. Handoffs make this powerful. One agent extracts the call details, then passes the context to a secondary agent that drafts follow-up emails based on the specific objections raised by the buyer.

Map target organizations dynamically

Static lead lists get stale fast. You want your system to actively query the market using `search_organizations` to build fresh target lists based on live criteria. Tracing in the OpenAI dashboard shows exactly how your agent navigated the Apollo database. You see the exact parameters it passed to `search_people` and understand why it selected specific decision-makers.

Setup guide

Set up Apollo.io 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 Apollo.io tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Apollo.io 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 Apollo.io 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="Apollo.io Agent",
            instructions="You have access to Apollo.io 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 Apollo.io. 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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Real-time monitoring

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Built-in savings

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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 Apollo.io MCP in OpenAI Agents SDK

Start by installing the openai-agents package. You then create an MCPServerStreamableHttp instance with your Vinkius endpoint URL and pass it to your Agent constructor via the mcp_servers array.
Yes, the integration handles tool discovery automatically. Setting cacheToolsList=True prevents redundant network calls when fetching the eight available operations.
The SDK catches the error and reports it back to the agent's context window. Your system then retries the action or triggers a human-in-the-loop fallback.
The `list_email_accounts` tool returns every sender profile you have configured. Your agent reads that array to decide which address should send the specific outreach.
We run the MCP integration inside an ephemeral V8 Isolate Sandbox. When your system pulls a prospect's phone number or reads an internal call transcript, that data passes through a zero-trust environment that terminates the moment the request finishes.

Start using the Apollo.io MCP today

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