How to Use the GetResponse MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK read my GetResponse campaigns?

Yes, the agent uses listmarketingcampaigns and getcampaigndetails. It pulls the metadata right into your context window.

Connect GetResponse to your OpenAI Agents SDK production system to manage subscribers and track email analytics with built-in guardrails.

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Connect GetResponse MCP to OpenAI Agents SDK

Create your Vinkius account to connect GetResponse 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 GetResponse with OpenAI Agents SDK

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Automate list growth via OpenAI Agents SDK

The `add_new_subscriber` tool lets your agent push new leads directly into GetResponse. You define the safety constraints in your agent setup, ensuring no malformed emails hit your list. When a specialized lead-gen agent finds a prospect, it hands off to a database agent that runs `list_marketing_contacts` and `get_contact_details`. This prevents duplicate entries before the final insertion happens.

Track broadcast performance

The `get_newsletter_analytics` tool pulls open rates and click data back into your OpenAI tracing dashboard. Your agent reads the exact stats for any message ID without you writing custom API wrappers. If a campaign underperforms, the agent can call `list_marketing_workflows` to audit the automation flows tied to that segment. You see every step it took in the OpenAI logs.

Audit your MCP Server setup

The `verify_api_connection` tool acts as a health check before your agent attempts bulk operations. It confirms your GetResponse endpoint token is active and ready. From there, your agent can map out your entire account using `get_account_details` and `list_marketing_webhooks`. It builds a complete picture of your marketing infrastructure before touching a single subscriber.

Setup guide

Set up GetResponse 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 GetResponse tools at runtime.
3

Create your Agent

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

Run the agent

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

Use MCPServerStreamableHttp with your Vinkius endpoint. Pass it to your Agent constructor with cacheToolsList=True to speed up tool discovery.

Yes, the agent uses `list_marketing_campaigns` and `get_campaign_details`. It pulls the metadata right into your context window.

The built-in guardrails catch API failures instantly. If a tool fails, the agent logs the error and retries based on your defined constraints.

No. The SDK auto-discovers all 12 tools from the MCP server automatically. Just pass the server instance to your agent setup.

This server touches PII like email addresses and names via the contacts endpoints. The Vinkius V8 Isolate Sandbox destroys the execution environment immediately after the API call finishes, leaving no residual memory traces.

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