GetResponse MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GetResponse through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="GetResponse Assistant",
instructions=(
"You help users interact with GetResponse. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from GetResponse"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About GetResponse MCP Server
Connect your GetResponse account to any AI agent to automate your email marketing and audience engagement workflows through the Model Context Protocol (MCP). GetResponse is a scalable email marketing platform that helps businesses grow their lists and automate communication. This MCP server enables you to manage your mailing lists (campaigns), track subscriber profiles, and monitor newsletter performance directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from GetResponse through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GetResponse, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Campaign & List Oversight — List all mailing lists (campaigns) in your account and fetch detailed configuration metadata for each.
- Subscriber Management — Search and list contacts, retrieve detailed profile metadata, and programmatically add new subscribers to your lists.
- Newsletter Tracking — Access your history of sent and scheduled newsletters to monitor your broadcast strategy.
- Performance Analytics — Retrieve high-level statistics (opens, clicks, bounces) for your newsletters to measure engagement.
- Automation Discovery — List configured marketing automation workflows and signup forms to understand your lead acquisition funnel.
- Webhook Monitoring — List active webhooks to ensure your internal systems are receiving real-time campaign notifications.
- Account Identity — Fetch metadata for the authenticated GetResponse account to verify permissions and settings.
- Real-time Synchronization — Keep your marketing data accessible to your AI assistant without leaving your primary workspace.
The GetResponse MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect GetResponse to OpenAI Agents SDK via MCP
Follow these steps to integrate the GetResponse MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from GetResponse
Why Use OpenAI Agents SDK with the GetResponse MCP Server
OpenAI Agents SDK provides unique advantages when paired with GetResponse through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
GetResponse + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the GetResponse MCP Server delivers measurable value.
Automated workflows: build agents that query GetResponse, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries GetResponse, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through GetResponse tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query GetResponse to resolve tickets, look up records, and update statuses without human intervention
GetResponse MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect GetResponse to OpenAI Agents SDK via MCP:
add_new_subscriber
Sync a contact
get_account_details
Get account metadata
get_campaign_details
Get campaign metadata
get_contact_details
Get contact metadata
get_newsletter_analytics
Get broadcast stats
list_marketing_campaigns
List campaigns/lists
list_marketing_contacts
List subscribers
list_marketing_forms
List signup forms
list_marketing_newsletters
List newsletters
list_marketing_webhooks
List webhook configs
list_marketing_workflows
List automation flows
verify_api_connection
Check connection
Example Prompts for GetResponse in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GetResponse immediately.
"List all my email campaigns/lists in GetResponse."
"Show me the performance stats for my last newsletter."
"Add 'John Doe' (john@example.com) to the 'Newsletter' list (ID: abc123)."
Troubleshooting GetResponse MCP Server with OpenAI Agents SDK
Common issues when connecting GetResponse to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
GetResponse + OpenAI Agents SDK FAQ
Common questions about integrating GetResponse MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect GetResponse with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GetResponse to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
