How to Use the Marketo MCP in Google ADK

Q: How do I initialize the Marketo MCP Server in Google ADK?

Install the google-adk package and configure a McpToolset using StreamableHttpServerParameters. Pass this toolset directly to your LlmAgent initialization.

Q: How do I filter which Marketo tools the Google ADK agent sees?

The McpToolset accepts an optional toolnames parameter. You pass an array of specific strings like getleadbyemail to restrict access.

Connect Marketo to the Google ADK to let Gemini agents analyze lead activities alongside BigQuery data.

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Connect Marketo MCP to Google ADK

Create your Vinkius account to connect Marketo 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 Marketo with Google ADK

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Analyze Activities with Google ADK

The `list_activities` tool dumps massive volumes of prospect behavior straight into Gemini's long-context window. Your agent digests thousands of webpage visits, email clicks, and form fills in a single pass. You combine this behavioral data with historical purchase records sitting in BigQuery. The agent spots deep patterns in lead engagement that traditional scoring models miss entirely.

Map Marketo Campaigns to Vertex AI

Tools like `list_campaigns` and `get_campaign_by_id` pull your messy marketing structure into the ADK environment. Your agent maps out which specific assets currently drive traffic. It then uses `get_smart_campaign_by_id` to evaluate the specific trigger logic behind your top performers. You get automated audits of your marketing automation setup without opening the native UI.

Enterprise Program Audits via MCP

The `list_programs` and `get_program_by_id` tools expose your high-level marketing initiatives to the agent. It reviews budget allocations and channel tags across different regions without complaining. By calling `list_static_lists` and `list_leads_by_list`, the agent verifies that the right people actually sit in those programs. You catch segmentation errors before launching expensive enterprise initiatives.

Setup guide

Set up Marketo 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 Marketo 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="Marketo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Marketo 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 Marketo. 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.

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Common questions about Marketo MCP in Google ADK

Install the `google-adk` package and configure a `McpToolset` using `StreamableHttpServerParameters`. Pass this toolset directly to your `LlmAgent` initialization.

Gemini's 1M+ token window easily absorbs massive payloads from `list_activities`. You do not need to chunk or summarize the data before passing it to the model.

The `McpToolset` accepts an optional `tool_names` parameter. You pass an array of specific strings like `get_lead_by_email` to restrict access.

Yes, the ADK runs natively within Google Cloud environments. Your agent triggers MCP tools and pipes the resulting marketing data directly into Vertex for further processing.

Campaign structures and lead IDs run through a zero-trust execution environment. Vinkius drops the isolated instance the millisecond your HTTP response completes.

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