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

Q: How does AutoGen use Google Pub/Sub Topic?

The pubsubpublishmessage tool allows one of your agents to send a message, simulating an external event. All other agents then process this published data as part of their debate cycle.

AutoGen: Driving consensus decisions by debating Google Pub/Sub Topic events with AutoGen.

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Setup Google Pub/Sub Topic with AutoGen

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Consensus-Driven Event Handling

Agents don't just act; they debate. You can build systems where multiple specialized agents discuss the outcome of a potential cloud event, forcing consensus on action. The tool helps gather input for this deliberation. The agent tasked with publishing messages uses `pubsub_publish_message` to signal an external state change that all other agents must consider.

Deliberative Decision Making

Need a decision that accounts for risk and speed? The Multi-Agent setup allows one agent to challenge the conclusion derived from the Google Pub/Sub Topic. They negotiate until they settle on a final, reasoned outcome. This is perfect for complex systems where the answer isn't obvious.

Systematic Tool Integration

You get tools into your AutoGen framework without writing adapter code. The `mcp_server_tools` function automatically handles schema conversion, letting you focus on the debate logic rather than the API calls. This makes adding cloud event capabilities straightforward for any multi-agent system.

Setup guide

Set up Google Pub/Sub Topic MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Google Pub/Sub Topic tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Google Pub/Sub Topic_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Google Pub/Sub Topic data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Google Pub/Sub Topic_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Google Pub/Sub Topic data")
    print(result.messages[-1].content)

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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 AutoGen

The `pubsub_publish_message` tool allows one of your agents to send a message, simulating an external event. All other agents then process this published data as part of their debate cycle.

AutoGen's conversational structure naturally handles context. The history of messages and published events remains in the conversation, allowing agents to reference past states.

Use clear, structured payloads that reflect the decision point. Since consensus is key, labeling the message type and origin within the payload helps agents understand its significance.

The tool execution within AutoGen's framework ensures that the call is treated as a critical step in the conversation flow. The system confirms the action before proceeding to agent responses.

The server touches standard string/dictionary payloads. Credentials are handled by Vinkius's secure proxy, meaning your keys never sit on disk.

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