How to Use the Moosend (Email Marketing & Automation) MCP in Google ADK

Q: How do I configure the Moosend (Email Marketing & Automation) MCP Server with the Google ADK?

Use McpToolset from the google-adk package and pass your Vinkius HTTP transport URL. Register this toolset inside your LlmAgent initialization to expose the Moosend endpoints to your Gemini model.

Q: Can I restrict which Moosend (Email Marketing & Automation) MCP tools my Google ADK agent can access?

Yes, you can use the toolnames filter parameter when setting up your toolset. For instance, you can expose getcampaignstats while blocking sendcampaign to create a read-only analytics agent.

Q: Where are my campaign performance metrics and mailing list metadata stored during processing?

Data fetched via getcampaignstats and getmailinglist is processed in-memory within Vinkius's zero-trust V8 sandbox. No subscriber lists or marketing metrics are stored on the MCP host, and transport-level encryption secures all API traffic between Google Cloud and Moosend.

Connect Gemini models to your Moosend marketing data using the Google ADK for enterprise automation.

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Connect Moosend (Email Marketing & Automation) MCP to Google ADK

Create your Vinkius account to connect Moosend (Email Marketing & Automation) 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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Setup Moosend (Email Marketing & Automation) with Google ADK

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BigQuery-driven subscriber sync

The `create_mailing_list` tool generates new subscriber segments in Moosend directly from your SQL query results. Your Google ADK agent queries BigQuery, identifies inactive users, and creates fresh target lists in seconds. Once the list exists, the `add_subscriber` tool populates it with the extracted user profiles. Because Gemini handles massive context windows, you can pass large batches of subscriber data to the agent for processing without hitting context limits.

Google ADK campaign dispatch control

The `send_campaign` tool triggers your scheduled email blasts directly from your Google Cloud environment. Your agent coordinates the dispatch timing based on real-time pipeline events or database updates. Before sending, the agent runs `list_campaigns` to verify that you aren't double-mailing the same segment. This prevents spam complaints and keeps your domain reputation safe.

Deep analytics ingestion

The `get_campaign_stats` tool extracts open rates, bounces, and link clicks directly into your Gemini agent's memory. You can then feed these raw metrics back into Vertex AI to train custom recommendation models. By calling `list_mailing_lists` through this MCP Server, your agent keeps track of your entire audience structure. This gives you a clear picture of user engagement without manual CSV exports.

Setup guide

Set up Moosend (Email Marketing & Automation) 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

Install Google ADK

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

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

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 Moosend (Email Marketing & Automation) 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="Moosend (Email Marketing & Automation)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Moosend (Email Marketing & Automation) tools via MCP.",
    tools=mcp_tools,
)

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

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Common questions about Moosend (Email Marketing & Automation) MCP in Google ADK

Use `McpToolset` from the `google-adk` package and pass your Vinkius HTTP transport URL. Register this toolset inside your `LlmAgent` initialization to expose the Moosend endpoints to your Gemini model.

Yes, you can use the `tool_names` filter parameter when setting up your toolset. For instance, you can expose `get_campaign_stats` while blocking `send_campaign` to create a read-only analytics agent.

It allows your agent to ingest thousands of subscriber records from `list_subscribers` simultaneously. The model can analyze complex patterns across your entire list without running out of memory.

Absolutely. You can deploy your Python agent script to Cloud Run and connect to the Vinkius endpoint securely. This keeps your automated email workflows running on serverless infrastructure.

Data fetched via `get_campaign_stats` and `get_mailing_list` is processed in-memory within Vinkius's zero-trust V8 sandbox. No subscriber lists or marketing metrics are stored on the MCP host, and transport-level encryption secures all API traffic between Google Cloud and Moosend.

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