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How to Use the GetResponse MCP in Google ADK

Give your Google ADK agents direct access to GetResponse to sync subscriber data and run deep analytics against BigQuery.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect GetResponse MCP to Google ADK

Create your Vinkius account to connect GetResponse to Google ADK 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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Analyze campaigns with Google ADK

The `list_marketing_campaigns` tool feeds your entire GetResponse campaign history into Gemini's massive context window. You dump years of email marketing data into the prompt at once. The agent then calls `get_campaign_details` for specific runs and cross-references them with your Vertex AI models. You spot long-term engagement trends that a standard dashboard hides.

Manage lists and forms

The `add_new_subscriber` tool pushes leads generated from your Google Cloud infrastructure straight into your marketing lists. You bypass custom middleware completely. If you need to audit your entry points, the agent runs `list_marketing_forms` and `list_marketing_newsletters`. It maps exactly where your BigQuery leads originated before they hit your database.

Monitor MCP Server health

The `verify_api_connection` tool checks your credentials before running expensive analytics jobs. It prevents your agent from wasting tokens on failed API calls. Once verified, the agent pulls raw stats using `get_newsletter_analytics`. You can pipe those metrics directly into your enterprise reporting stack without writing extraction scripts.

Setup guide

Set up GetResponse MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with GetResponse tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="GetResponse_agent",
    model="gemini-2.0-flash",
    instruction="You have access to GetResponse tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GetResponse. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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 GetResponse MCP in Google ADK

Instantiate a McpToolset using your HTTP endpoint URL. Pass that toolset directly to your LlmAgent initialization.
Yes. You use the tool_names parameter to restrict access. If you only want the agent to read data, you block the creation tools.
The agent pulls your current counts via `get_account_details` and `list_marketing_contacts`. It checks your quota before attempting bulk inserts.
Absolutely. Your agent can read customer segments from BigQuery and push them to GetResponse using the subscriber creation tools.
The server processes raw broadcast statistics and engagement metrics. Vinkius relies on a zero-trust architecture where the connection requires a single ephemeral endpoint token that expires on demand.

Start using the GetResponse MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for GetResponse. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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