How to Use the Showpad MCP in Google ADK

Q: How does the Google ADK improve Showpad search capabilities?

The searchassets tool gets the initial keywords. However, by passing those results to Gemini with BigQuery integration, your agent can cross-reference the assets against live customer data for deep context.

Q: Can I use Google ADK to audit Showpad user access?

Yes. Your agent first calls listusers and then uses getuserdetails on specific accounts. This allows you to build reports in BigQuery showing exactly who has access to which content.

Q: If I use Google ADK, how do I map out Showpad content channels?

Use the listchannels tool to get a complete list of active channels. You can then combine this with getassetdetails to see exactly which assets are designated for those specific distribution paths.

Q: Does Showpad governance benefit from using Google ADK?

Definitely. The ability to ingest the results of listtags directly into BigQuery means you can run historical reports on content usage, which is invaluable for proving ROI and guiding policy.

Run enterprise Showpad automation on Google ADK and BigQuery.

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Setup Showpad with Google ADK

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Search and Contextualize Assets

The `search_assets` tool lets your agent look up sales collateral across Showpad. Because you're connecting this to Vertex AI, the search results can be fed directly into long-context reasoning for deeper analysis. You don't just get a list; you use `get_asset_details` to retrieve all relevant metadata, which is perfect for feeding structured data into BigQuery queries alongside other business metrics.

Map Organizational Boundaries

The `list_divisions` and `list_channels` tools map your entire corporate structure. When building enterprise agents on Google Cloud, knowing these boundaries is key to segmenting data correctly. Your agent uses this structural knowledge—combined with `get_user_details`—to understand which teams are talking to which customers, all within the Gemini model's large context window.

Bulk Inventory and Taxonomy Management

Getting a full inventory of your content is simple using `list_assets`. This provides the raw data set that Google ADK excels at processing. Need to categorize it? The agent uses `list_tags` and `list_users` together. It builds a complete map of every piece of collateral, every tag applied, and every Showpad user who has access.

Setup guide

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

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Common questions about Showpad MCP in Google ADK

The `search_assets` tool gets the initial keywords. However, by passing those results to Gemini with BigQuery integration, your agent can cross-reference the assets against live customer data for deep context.

Yes. Your agent first calls `list_users` and then uses `get_user_details` on specific accounts. This allows you to build reports in BigQuery showing exactly who has access to which content.

The server touches all Showpad assets and their metadata, but because the agent runs on Google Cloud infrastructure, you benefit from native BigQuery security controls. Data remains within your managed environment.

Use the `list_channels` tool to get a complete list of active channels. You can then combine this with `get_asset_details` to see exactly which assets are designated for those specific distribution paths.

Definitely. The ability to ingest the results of `list_tags` directly into BigQuery means you can run historical reports on content usage, which is invaluable for proving ROI and guiding policy.

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