How to Use the Sender.net MCP in Google ADK
Connect Sender.net to Google ADK. Give your Gemini agents direct control over email campaigns and subscriber lists.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Sender.net MCP to Google ADK
Create your Vinkius account to connect Sender.net to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Sync lists via Google ADK
The `list_subscribers` MCP tools pull your exact audience data straight into Gemini's context window. Your agent can read thousands of contacts and compare them against Vertex AI predictions. It's just as direct to push updates back. Your agent executes `create_subscriber` or `update_subscriber` to keep your marketing platform aligned with your BigQuery customer records.
Draft and deploy email assets
Give your long-context models the ability to execute `create_campaign`. Gemini can analyze massive product catalogs and immediately turn those insights into targeted email blasts. You can restrict which agent handles this via the MCP toolset configuration. The tool_names filter in the ADK lets you expose campaign creation only to specific, trusted agent instances.
Feed metrics to Gemini
Agents use `get_campaign_analytics` through the MCP connection to read open and click data. This feeds real-world performance numbers back into your Google Cloud workflows. You combine this with `list_email_campaigns` to audit your entire sending history. The agent evaluates past success rates to adjust future subject line generation.
Set up Sender.net 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 Sender.net 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="Sender.net_agent",
model="gemini-2.0-flash",
instruction="You have access to Sender.net 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 Sender.net. 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 Sender.net MCP in Google ADK
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