How to Use the EmailOctopus MCP in Google ADK
Connect your Gemini agent to EmailOctopus and feed campaign performance data directly into your Google Cloud workflow.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EmailOctopus MCP to Google ADK
Create your Vinkius account to connect EmailOctopus 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.
Sync Campaign Data to BigQuery
Give your agent the tools to pull email marketing data for your data warehouse. It can use `list_email_campaigns` to get a full campaign history, then loop through each one with `get_campaign_performance_summary` to extract the metrics. Gemini's long context window is a good fit for processing the results from thousands of campaigns at once. The agent can hold the data in memory while it transforms it for ingestion into BigQuery.
Build Enterprise Reports with your Gemini Agent
This MCP Server exposes your EmailOctopus account as a set of tools for Google ADK. Your agent can perform a `quick_marketing_volume_audit` for a high-level summary or use `get_list_details` to check subscriber counts on specific lists. It's the fastest way to get marketing data into your Vertex AI pipelines. You don't have to write and maintain a custom data loader; just point the agent at the task.
Audit Contact Lists at Scale
Use the `McpToolset` to give your agent access to your contact lists. It can fetch all your lists with `list_marketing_lists` and then paginate through specific ones using `list_list_contacts`. This lets you build agents that can audit list hygiene or cross-reference your EmailOctopus contacts against other data sources you already have in Google Cloud.
Set up EmailOctopus MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 EmailOctopus tools in your ADK agent.
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="EmailOctopus_agent",
model="gemini-2.0-flash",
instruction="You have access to EmailOctopus 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 EmailOctopus. 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 EmailOctopus MCP in Google ADK
Use it with your favorite AI tools
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