How to Use the Google Pub/Sub Topic MCP in Google ADK

Act on your data: Google Pub/Sub Topic integration using the Google ADK.

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Connect Google Pub/Sub Topic MCP to Google ADK

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Setup Google Pub/Sub Topic with Google ADK

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Connecting BigQuery Actions

Your agent can trigger external events by publishing a message to a configured Google Pub/Sub Topic. This allows your workflows, which often start in BigQuery data analysis, to initiate actions outside of the cloud database using `pubsub_publish_message`. The ADK makes this connection native. It ensures that when an agent decides an action is needed post-query, it can translate that decision into a reliable cloud message.

Long Context Enterprise Flows

The Google ADK supports long context reasoning, meaning your agent can hold complex instructions while determining the right time to publish an event. It's perfect for multi-step workflows that span vast amounts of data and require a final trigger. Instead of just analyzing data in BigQuery, you use your agent to make a decision and then push that decision out via the topic.

Seamless Cloud Infrastructure Integration

Since it's built on Google Cloud infrastructure, this MCP integrates naturally. You don't need custom glue code; you just pass the toolset to your LlmAgent. This means that any high-level reasoning done within the ADK environment can result in a concrete action—a published message.

Setup guide

Set up Google Pub/Sub Topic 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 Google Pub/Sub Topic 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="Google Pub/Sub Topic_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Google Pub/Sub Topic 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 Google Pub/Sub Topic. 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 Google Pub/Sub Topic MCP in Google ADK

Yes. The ADK is built for enterprise scale and works reliably with high-volume event publishing. You can trust that the agent will manage the publishing calls efficiently, even after complex data processing in BigQuery.

The integration is native to Google Cloud. The agent uses your existing credentials and infrastructure context, minimizing points of failure and ensuring that message payloads are handled securely across all services.

You can. After running complex queries in BigQuery and deriving a necessary action, your agent uses the `pubsub_publish_message` tool to send that result as an event to the topic.

The framework handles credentials using your existing Google Cloud context. You don't have to worry about managing separate keys; the agent operates within its established, secure cloud environment.

It processes structured event messages. These payloads are designed to act as triggers for other services, carrying metadata that dictates what the receiving service should do.

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