How to Use the Integrate (Integrate.com) MCP in OpenAI Agents SDK

Build production OpenAI Agents that pull leads and manage campaigns via Integrate (Integrate.com) with native guardrails.

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Connect Integrate (Integrate.com) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Integrate (Integrate.com) 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 Integrate (Integrate.com) with OpenAI Agents SDK

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Automated Lead Ingestion

The `list_leads` tool lets your OpenAI Agents fetch incoming prospects directly into your python runtime. You can immediately pass these leads to specialized downstream agents to qualify them or trigger follow-up sequences. If you need granular details on a specific prospect, the agent calls `get_lead` to pull custom fields. This setup allows your agentic workflow to run validation checks before writing anything to your database.

Campaign and Partner Audits via MCP Server

This MCP Server exposes `list_campaigns` and `list_media_partners` to give your OpenAI Agents full visibility into active marketing programs. Your agent can cross-reference active campaigns against incoming lead sources on the fly. By querying `list_sources`, your agent flags underperforming channels or misconfigured feeds without human intervention. The SDK handles the underlying HTTP connection so your agents can focus strictly on decision-making.

System Health and Organization Checks

The `get_system_status` tool lets your OpenAI Agents check the operational state of your marketing pipeline before running heavy batch operations. This prevents your script from failing mid-run if the external API faces downtime. Your agent can also query `list_users` and `list_dispositions` to map leads to the correct account owners. This keeps your routing logic clean and ensures rejected leads are categorized properly.

Setup guide

Set up Integrate (Integrate.com) 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 Integrate (Integrate.com) tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the SDK and instantiate the streamable HTTP server using your Vinkius endpoint. Pass this server instance directly into your Agent constructor's server list to auto-discover the campaign tools.

Yes, you can configure the agent's tool filters during initialization to expose only specific endpoints like campaign lookups. This prevents the agent from calling administrative actions it does not need.

The SDK relies on the underlying Vinkius transport layer to handle retries and network hiccups. If a lead query fails, the agent receives a clean error and can route the task to a fallback step.

No, the MCP protocol automatically shares the tool schemas with your Python agent. Your agent knows exactly what arguments to pass to get campaign details.

Vinkius executes this MCP server inside an isolated, zero-trust V8 sandbox. Your credentials and lead lists are never stored on disk, and all API traffic is encrypted in transit.

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