Google Pub/Sub MCP. Trigger system events reliably with one published message.
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The pubsub_publish_message MCP lets your AI client trigger cloud events by publishing payloads to a single, designated Google Pub/Sub Topic.
It acts as a reliable event producer for distributed systems architecture, notifying multiple downstream workers immediately after an action is confirmed.
What your AI agents can do
Pubsub publish message
Sends a defined message payload and attributes to the configured Google Cloud Pub/Sub Topic.
Publish immediate alerts or status updates to subscribing microservices.
Send a structured message that signals downstream workers (like data processing jobs) to start their processes.
Attach custom attributes alongside the main payload, allowing subscribers to filter or route messages precisely.
Receive confirmation that the payload was successfully accepted by the Pub/Sub Topic.
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Supported MCP Clients
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Google Pub/Sub Topic: 1 Tool
This tool allows you to send standardized messages and custom attributes to your designated Google Cloud Pub/Sub Topic, generating reliable system events.
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Start using Google Pub/Sub Topic on Vinkius019eb8cbpubsub publish message
Sends a defined message payload and attributes to the configured Google Cloud Pub/Sub Topic.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 1 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Today, triggering systems means clicking through endless dashboards.
Right now, if an important event happens—like a payment clearing—you have to build complex integration points. You call Service A's API; it returns success code 200. Then you must write separate logic to hit Service B's endpoint, copy the necessary IDs, and repeat that pattern for every downstream system involved.
With this MCP, your agent handles all of that complexity behind the scenes. Instead of writing multiple connection points, you publish a single event via `pubsub_publish_message`. That one action signals everything it needs to talk to, making your process instant and clean.
The pubsub_publish_message MCP gives you true broadcast capability.
You eliminate the need for brittle, service-specific API calls. You don't write code that says 'if X happens, call Y and then Z.' Instead, your agent simply publishes a standardized message payload describing the event itself.
It's all about decoupling. Your systems talk to the topic, not to each other directly. That fundamental architectural shift is what keeps everything stable when one of your services inevitably breaks or gets updated.
What you can do with this MCP connector
You need a way for one service update to reliably alert several other services without needing complex, hardcoded API calls. This MCP gives your agent exactly that: the power to publish messages directly to a specific Google Pub/Sub Topic. It's built for event-driven systems where you can't rely on synchronous responses from all parties.
When an action completes—say, a user profile is updated or inventory changes status—your AI client publishes the message and the system reacts instantly. This isolation means your agent never has to worry about permissions outside of this single topic, keeping things safe while giving you serious publishing power. Accessing this capability through Vinkius lets your agent interact with enterprise-grade cloud services using simple messaging primitives, treating event generation like a first-class action.
019eb8cb-2783-71e9-9b92-efb564acda17 
How Google Pub/Sub MCP Works
- 1 Your AI client determines an event needs to happen (e.g., 'order confirmed').
- 2 It uses the tool to publish a message payload, including any necessary data and custom attributes, to the topic.
- 3 The system confirms the successful publication of the message, allowing downstream services to immediately process the event.
The bottom line is that your agent sends an atomic signal to the topic, and everything subscribed listens for it.
Who Is Google Pub/Sub MCP For?
This MCP serves backend engineers, system architects, and DevOps teams. You're tired of building brittle, point-to-point APIs that break when one service changes its endpoint. You need a reliable bus to broadcast status updates across dozens of microservices without writing boilerplate code for every connection.
Uses the tool to ensure that whenever a core business object changes state, it sends an immutable event record so other services can react autonomously.
Integrates this MCP into CI/CD pipelines to trigger post-deployment smoke tests or status checks across multiple environments simultaneously.
Builds automated event triggers that allow non-technical users (via their AI agent) to initiate complex, multi-step workflows by simply publishing an initial signal.
What Changes When You Connect
- Decouple services. You no longer need to call Service B directly from Service A. Just send the event via
pubsub_publish_message, and every interested worker picks it up. - Guaranteed delivery signal. The tool confirms that the payload was successfully accepted by the topic, giving you reliable proof of the trigger.
- Contextual messaging. You can attach custom message attributes—like 'source: billing' or 'type: invoice_ready'—so subscribers know exactly how to handle the event.
- Scales with your architecture. Since it uses a standard pub/sub model, you don't worry about managing API rate limits for every single consuming service.
- Simplified agent logic. Your AI client only needs to know one action: calling
pubsub_publish_message. It abstracts away the complexity of the entire message bus.
Real-World Use Cases
The user profile updated, but nothing is notifying search.
A user's email changes. Instead of manually calling a Search Index API endpoint and then telling the Notification Service to run, your agent uses pubsub_publish_message with the payload 'user:updated'. The Search Index worker and the Email Worker both listen for this event and update their systems simultaneously.
The payment gateway finished processing an invoice.
An invoice is finalized. Rather than building a dedicated API call to tell the Billing Audit Service it's ready, your agent uses pubsub_publish_message and adds the attribute 'type: invoice_ready'. The Billing Audit service immediately picks up this signal.
Need to restart all background data exports.
The data warehouse needs a nightly refresh. Instead of logging into three different system dashboards, your agent calls pubsub_publish_message with the prompt 'Trigger background data export'. All subscribed worker services pick up the instruction and start their jobs.
User signs up and verification is needed.
A user completes sign-up. The agent uses pubsub_publish_message to send an event indicating 'user sign-up was verified.' This triggers the welcome email worker and updates the CRM system instantly.
The Tradeoffs
Calling services directly
Trying to write a massive, complex workflow that requires calling Service A's API, then waiting for confirmation before calling Service B's API.
→
Use pubsub_publish_message. Publish the event once. Let all your dependent systems listen independently. This keeps your agent logic simple and reliable.
Over-relying on single APIs
Building a monolithic script that has to be updated every time one of the 10 downstream services changes its API version or endpoint.
→ Use this MCP. It creates an event standard (the topic) that is independent of any specific service implementation, making your system resilient.
Assuming synchronous response
Calling pubsub_publish_message and expecting the agent to wait for every single consumer worker to report success before finishing its task.
→ Understand that publishing is fire-and-forget. The MCP confirms you sent it; the workers handle their own completion asynchronously.
When It Fits, When It Doesn't
Use this MCP if your core requirement is guaranteed, asynchronous notification broadcasting. If you need to signal one change (e.g., 'User X created') to ten different services that act independently on that signal, this tool is perfect. Don't use it if you need a sequential, transactional workflow where Service B absolutely cannot start until Service A explicitly confirms its success. For those cases, you might need a specialized orchestrator or a dedicated multi-step process flow rather than a simple pub/sub trigger.
Common Questions About Google Pub/Sub MCP
What data does pubsub_publish_message send? +
It sends a payload (the main message body) and allows you to attach custom attributes. You can include structured JSON data in the payload, plus metadata like 'source' or 'status' in the attributes.
Is pubsub_publish_message reliable? +
Yes. It confirms that your message was successfully received by the Google Pub/Sub Topic. This means the event signal was sent reliably, even if downstream workers are temporarily offline.
How does pubsub_publish_message handle errors? +
The tool only handles publishing; it doesn't manage consumption failure. If a worker fails to process the message, Pub/Sub's built-in retry mechanisms handle that, keeping your agent clean.
Does pubsub_publish_message require GCP permissions? +
No, this MCP is scoped only to publishing messages on a single topic. It strips away dangerous global permissions, giving you surgical access and nothing more.
What is the security scope of pubsub_publish_message? +
The tool's access is strictly confined to publishing messages only on your single designated topic. It physically prevents the agent from configuring or altering any other resources in GCP, ensuring absolute containment.
How do I use message attributes with pubsub_publish_message? +
You pass key-value pairs as metadata when publishing a message. Downstream services read these specific attributes to filter messages, allowing only relevant workers to process the payload.
Does pubsub_publish_message handle authentication for my AI client? +
Authentication is managed securely by Vinkius using service account credentials. You don't need to worry about keys; your agent simply connects via its secure, authorized token.
Are there rate limits when calling pubsub_publish_message? +
While Pub/Sub is built for high throughput, sustained excessive calls can trigger throttling. We recommend batching related messages to stay within service limits and maintain smooth event flow.
Why limit the agent to a single Pub/Sub Topic? +
To enforce zero-trust architecture. An autonomous AI agent should not have the ability to publish events to arbitrary critical infrastructure topics (e.g., billing alerts or user deletion events).
Do I need to base64-encode my messages manually? +
No. Provide plain text or JSON strings directly to the tool. The engine will automatically convert your payload to base64 as required by the Google Cloud Pub/Sub REST API.
Can the agent receive messages with this tool? +
No. This tool only has publish_message capabilities to enforce unidirectional isolation. If the agent needs to receive messages, it must use the Google Pub/Sub Subscription MCP.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.