How to Use the Google Pub/Sub Topic MCP in OpenAI Agents SDK

Publish cloud events reliably with your OpenAI Agents SDK.

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MCP Servers — Included with Plan

Connect Google Pub/Sub Topic MCP to OpenAI Agents SDK

Create your Vinkius account to connect Google Pub/Sub Topic to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Google Pub/Sub Topic with OpenAI Agents SDK

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Triggering Cloud Events

Your agent can send a message to any configured Google Pub/Sub Topic. This means you don't just read data; your system actively triggers downstream processes using the `pubsub_publish_message` tool. Because this MCP call is wrapped in the OpenAI Agents SDK, it runs through built-in guardrails. You know the agent will only attempt to publish messages that match pre-validated schemas, making it suitable for production deployment.

Structured Action Handoffs

When complex tasks require multiple specialized steps, your agent can hand off actions cleanly. If a workflow determines an event needs to happen on Google Pub/Sub Topic, the SDK ensures that action is executed as a distinct step. This clear separation of concerns means you're tracking exactly when and why a message was published, which is critical for debugging multi-stage autonomous processes.

Guaranteed Execution Traceability

Every time your agent publishes an event to Google Pub/Sub Topic, the action gets traced. The OpenAI dashboard records the entire chain of calls and inputs. This full visibility means you aren't guessing about failed automations; you see the exact moment the message publishing call was made and what payload it used.

Setup guide

Set up Google Pub/Sub Topic MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Google Pub/Sub Topic tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Google Pub/Sub Topic tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Google Pub/Sub Topic tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Google Pub/Sub Topic Agent",
            instructions="You have access to Google Pub/Sub Topic tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Yes. The OpenAPI Agents SDK validates agent actions before execution. This means any payload intended for the Google Pub/Sub Topic must conform to strict schemas defined within your agent's guardrails.

The SDK manages the tool calls as part of its larger, orchestrated process. It allows you to set explicit limits and manage retries around the `pubsub_publish_message` call, keeping your overall agent system stable.

Absolutely. You can design specialized agents for specific data types. The SDK lets you define multiple tools, ensuring that the message published always matches the expected format for that particular topic.

The agent will fail loudly. Because of the built-in guardrails, the SDK catches validation errors before they hit the MCP call, preventing bad data from ever reaching your topic.

This server handles structured JSON payloads. When you publish a message, the agent requires that the input adheres to specific schema definitions for reliable cloud event triggering.

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