How to Use the EmailOctopus MCP in Google ADK
Connect Google ADK to your EmailOctopus lists to analyze subscriber data and run high-context campaigns directly from BigQuery.
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.
Run deep campaign audits with Google ADK
The agent calls `list_email_campaigns` and `get_campaign_details` to pull massive chunks of subscriber engagement history into Gemini's million-token context window. Analyzing historic trends becomes simple when you feed raw API data straight into the model. Gemini's large context window lets you process multiple campaigns simultaneously. It finds patterns in your open rates that standard analytics dashboards miss.
Sync BigQuery data directly to your subscriber lists
Your agent calls `add_contact_to_list` to match your active database records with your email marketing platform. Vinkius runs this connection securely, executing updates in milliseconds. Use the `tool_names` filter in the MCP Server toolset to restrict exposed operations. This ensures your agent can only update profiles while keeping list settings locked.
Build targeted lists using enterprise data
The agent uses `create_email_list` to spin up a new segment based on SQL query results. Generating highly specific recipient lists happens dynamically without human intervention. Your enterprise data flows straight to your marketing list via secure MCP HTTP transport. This workflow bypasses manual CSV uploads entirely.
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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