How to Use the Customer.io MCP in Google ADK

Q: How do I load Customer.io tools into my Google ADK agent?

Import McpToolset from the SDK and point it to your Vinkius HTTP transport URL. Pass this toolset into your LlmAgent tool list, and Gemini will automatically select the right tool when answering marketing queries.

Feed live Customer.io marketing data into Google ADK to power long-context Gemini reasoning loops.

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Connect Customer.io MCP to Google ADK

Create your Vinkius account to connect Customer.io 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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Setup Customer.io with Google ADK

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Analyze long-term engagement trends with Gemini

This MCP Server uses `get_campaign_performance` and `get_engagement_summary` to feed large volumes of historical performance data into Gemini's million-token context window. Your agent processes months of campaign runs in a single call to find hidden drop-off points. Because Google ADK connects natively to Vertex AI, you can combine this marketing data with your enterprise models. The agent builds complex performance reports without losing track of older campaign details.

Sync BigQuery lists using Google ADK

This MCP integration relies on `identify_customer` and `list_customer_segments` to bridge the gap between your Google Cloud data warehouse and your marketing workspace. Your agent pulls user lists from BigQuery and updates their profile status in real time. You initialize this using the `McpToolset` class and pass it to your `LlmAgent`. The agent handles the data mapping, translating database rows into structured attributes without manual scripting.

Search customer records via Google ADK

The `search_customers_by_email` and `get_customer_details` tools give your Gemini-powered agents instant access to individual profile histories. When a customer submits a query, the agent looks up their device tokens and segment memberships to personalize the response. You can restrict the toolset using the optional tool name filter in your Python configuration. This ensures your customer support agents only call lookup tools, keeping bulk messaging tools secure.

Setup guide

Set up Customer.io 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

Install Google ADK

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

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

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 Customer.io 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="Customer.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Customer.io tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Customer.io. 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.

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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One

place for every integration

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Common questions about Customer.io MCP in Google ADK

Import `McpToolset` from the SDK and point it to your Vinkius HTTP transport URL. Pass this toolset into your `LlmAgent` tool list, and Gemini will automatically select the right tool when answering marketing queries.

Yes, your agent can read user segments from BigQuery and use `identify_customer` to sync those attributes. Gemini's large context window allows the agent to process thousands of updates in structured batches.

Vinkius manages the API credentials securely, so your Google ADK configuration only needs a single endpoint token. This keeps your production credentials out of your agent code and Vertex AI environment.

Yes, this toolset works with any model supported by Google ADK, including Gemini 1.5 Pro. The model uses its reasoning capabilities to decide when to call tools like `list_automated_campaigns`.

The server handles raw email addresses and profile attributes through ephemeral, zero-trust V8 isolates. Your marketing data is never cached or used for model training, maintaining strict compliance with your enterprise cloud policies.

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