How to Use the Google Pub/Sub Topic MCP in Vercel AI SDK

Stream publish results directly into your Next.js frontend using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Google Pub/Sub Topic MCP to Vercel AI SDK

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

GDPR Included with Plan

Setup Google Pub/Sub Topic with Vercel AI SDK

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Real-Time Cloud Event Triggers for the AI SDK

The `pubsub_publish_message` tool lets you trigger cloud events directly from your client-side logic. When your agent calls this function, it publishes a message to a Google Pub/Sub Topic and immediately returns confirmation data. This is perfect for building UIs where the end user needs to see data appear as it happens. You can stream the successful publication status into React or Svelte components without ever hitting a loading spinner.

MCP Server Integration with Vercel AI SDK

You gain direct access to cloud messaging capabilities through this MCP Server, making your application much more reactive. Using `pubsub_publish_message`, you can initiate background processes that don't require a full API call cycle. This function proves the agent can handle state changes outside of traditional database reads. You just pass the message payload and let your AI client manage the streaming result.

Handling Asynchronous Publishing in Streaming UIs

Don't worry about managing background tasks separately; this MCP handles it all. The `pubsub_publish_message` function wraps complex publishing logic into a simple, streamable call for your AI client. It provides immediate feedback on the publish attempt, which is critical when you need to show the user 'Success: Message Sent' right after generation finishes.

Setup guide

Set up Google Pub/Sub Topic MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Google Pub/Sub Topic tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Google Pub/Sub Topic transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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 Vercel AI SDK

The Vercel AI SDK uses this MCP to send messages to the topic. The agent calls `pubsub_publish_message` and your frontend sees the status update streamed back, proving the action took place.

Absolutely. You connect your client to this MCP via an Edge Function. This lets your agent publish messages to the topic and keep the entire interaction within a single, fast stream.

The tool returns an error payload directly through the streaming channel. Your agent can then catch that specific failure and display a clear message to the end user, instead of just failing silently.

Yes. Since it uses the Pub/Sub Topic service, it's built for massive scale. Your agent can handle rapid bursts of calls without worrying about rate limits on your core infrastructure.

It handles string payloads that represent the message content sent to the Google Pub/Sub Topic. The function requires a defined topic name and a body string for publishing.

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