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How to Use the MoEngage MCP in Google ADK

Connect your Google ADK agents to your growth data for automated push campaigns.

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Google ADK

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.

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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.

Setup guide

Set up MoEngage 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. 1

    Install Google ADK

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

  2. 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. 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. 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.

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="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

Initialize the `McpToolset` with your server URL. Pass it into the `tools` parameter of your `LlmAgent` instance.
Yes, use the `search_customers` tool. It allows your agent to find specific user records based on your defined criteria.
Yes, you can use the `tool_names` filter to restrict which tools your agent can access. This keeps your agent focused on specific growth tasks.
All requests are scoped to your specific API key. We treat customer IDs and profile attributes as encrypted payloads during transit.
Call `list_campaigns`. The server returns the active campaign list, which your agent can then iterate through or summarize.

Start using the MoEngage MCP today

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Built & Managed by Vinkius 30s setup 13 tools

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