How to Use the Iterable MCP in Google ADK

Q: How do I configure the Iterable MCP Server in Google ADK?

Install google-adk and define your toolset using McpToolset with the Vinkius HTTP URL. Pass the toolset object into the tools parameter of your LlmAgent.

Q: Can I restrict which Iterable tools my Google ADK agent can access?

Yes, use the toolnames filter in your McpToolset configuration to expose only specific tools like getcampaignmetrics. This prevents the agent from reading sensitive user profiles.

Q: Does Google ADK support long-context analysis of Iterable workflows?

Yes. Your agent can call listworkflows to pull every automated sequence and analyze thousands of steps at once using Gemini's 1M+ token context.

Q: What security measures protect my campaign metrics in Google ADK?

Vinkius executes every getcampaignmetrics call in an isolated, zero-trust sandbox. Your marketing performance data is decrypted in transit and never stored within the hosting infrastructure.

Give your Google ADK agents direct access to Iterable campaign metrics and user lists alongside BigQuery datasets.

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Connect Iterable MCP to Google ADK

Create your Vinkius account to connect Iterable 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 Iterable with Google ADK

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Combine BigQuery data with live campaign performance in Google ADK

`get_campaign_metrics` gets performance metrics for a specific campaign, including open rates, clicks, and unsubscribes. Your Gemini-powered agent pulls these numbers directly into its long-context window to analyze performance trends. You don't have to export CSVs or write custom sync scripts to get raw performance data. The agent compares these metrics with BigQuery records to calculate lifecycle ROI. Because Google ADK supports massive context lengths, your agent can digest metrics from dozens of campaigns simultaneously using our MCP Server to identify underperforming segments.

Manage communication channels and templates with this MCP Server

`list_channels` exposes all configured communication paths, such as transactional or promotional streams, to your agent. The agent checks this list to determine which paths are available for a given user segment. It then pulls the underlying layout details using `list_templates` to verify that the visual assets align with the channel rules. This prevents your Google ADK agent from trying to send promotional content through restricted transactional paths.

Audit system integrations using Google ADK tools

`list_webhooks` returns every configured webhook destination and status from your marketing account. Your agent uses this tool to map out data flows and verify where user event data is being routed. By combining this with Gemini's reasoning, the agent can flag inactive endpoints or mismatched payload URLs. This keeps your external data pipelines in sync without requiring manual API testing.

Setup guide

Set up Iterable 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 Iterable 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="Iterable_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Iterable tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Iterable MCP in Google ADK

Install `google-adk` and define your toolset using `McpToolset` with the Vinkius HTTP URL. Pass the toolset object into the `tools` parameter of your `LlmAgent`.

Yes, use the `tool_names` filter in your `McpToolset` configuration to expose only specific tools like `get_campaign_metrics`. This prevents the agent from reading sensitive user profiles.

Yes. Your agent can call `list_workflows` to pull every automated sequence and analyze thousands of steps at once using Gemini's 1M+ token context.

The SDK supports both Stdio and HTTP transports, allowing you to connect to your hosted Vinkius server over secure, authenticated HTTP channels.

Vinkius executes every `get_campaign_metrics` call in an isolated, zero-trust sandbox. Your marketing performance data is decrypted in transit and never stored within the hosting infrastructure.

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