How do I get an API Key for GetResponse?

Log in to your GetResponse account, go to Menu > Integrations and API > API, and you can generate a new API key there.

Are 'Campaigns' and 'Lists' the same thing?

Yes, in GetResponse API v3, mailing lists are referred to as 'campaigns'. You manage your subscribers within these campaign objects.

Can I see newsletter open rates via the agent?

Yes! The 'get_newsletter_analytics' tool retrieves high-level performance metrics, including opens, clicks, and bounce data for your sent broadcasts.

How do I add a new contact to a specific list?

Use the 'add_new_subscriber' tool. You will need to provide the contact's email and the specific Campaign ID where they should be added.

GetResponse MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: GetResponse
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GetResponse through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to GetResponse "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in GetResponse?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every GetResponse tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the GetResponse MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from GetResponse with type-safe schemas

Why Use Pydantic AI with the GetResponse MCP Server

Pydantic AI provides unique advantages when paired with GetResponse through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GetResponse integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your GetResponse connection logic from agent behavior for testable, maintainable code

GetResponse + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the GetResponse MCP Server delivers measurable value.

Type-safe data pipelines: query GetResponse with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple GetResponse tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query GetResponse and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock GetResponse responses and write comprehensive agent tests

GetResponse MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect GetResponse to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting GetResponse to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GetResponse + Pydantic AI FAQ

Common questions about integrating GetResponse MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your GetResponse MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.