How to Use the MoEngage MCP in Google ADK
Connect your Google ADK agents to your growth data for automated push campaigns.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MoEngage MCP to Google ADK
Create your Vinkius account to connect MoEngage 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.
Automated push delivery via Google ADK
Trigger personalized messages directly from your agent logic. The `send_push` tool lets your agent reach users the moment a condition is met. This integration allows for immediate action. You don't need to hop between dashboards to execute your messaging strategy.
Deep segment analysis
Use `list_segments` and `get_segment` to pull audience data into your agent's context. Your agent can then reason over this data to decide which users get which content. It turns static segments into active inputs. Your agent knows exactly who to target based on live data.
Customer profile synchronization
Maintain up-to-date user records with `upsert_customer`. If your agent detects a profile change, it updates the record instantly. This keeps your data unified across your infrastructure. Your agent stays the single source of truth for user state.
Set up MoEngage 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 MoEngage 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="MoEngage_agent",
model="gemini-2.0-flash",
instruction="You have access to MoEngage 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 MoEngage. 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 MoEngage MCP in Google ADK
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