How to Use the Google Cloud Functions MCP in Vercel AI SDK

Stream live function results right into your Next.js UI using Vercel AI SDK.

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…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Google Cloud Functions MCP to Vercel AI SDK

Create your Vinkius account to connect Google Cloud Functions to Vercel AI 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 Cloud Functions with Vercel AI SDK

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Vercel AI SDK and the MCP Server

The `gcf_invoke_function` tool lets you run heavy processing logic asynchronously, which is perfect for Edge Functions. You don't wait for a final JSON response; you stream data directly from the function’s output as it executes. This means your client sees the AI working live in real-time, not after some loading spinner finishes. It makes building user-facing products feel fast and snappy.

Handling External Data Calls

If your agent needs to hit an external compute endpoint—say, checking a database or performing complex calculations—you just invoke the function via the MCP. Your TypeScript code handles the promise resolution cleanly. Because this is designed for streaming responses, you can even interleave the results from the background process into the main text generation stream.

Edge Function Compatibility

The ability to run remote business logic makes your client compatible with complex edge use cases. You’re not stuck running everything on the client side or needing a huge backend endpoint. It's just calling an isolated function via the MCP, which keeps things lightweight and fast for production deployments.

Setup guide

Set up Google Cloud Functions 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 Cloud Functions 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 Cloud Functions 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 Cloud Functions. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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One

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Common questions about Google Cloud Functions MCP in Vercel AI SDK

You pass your MCP client to your streamText function. Your agent calls the tool, which executes the remote logic defined in Google Cloud Functions. The results then flow back and appear in your UI.

Absolutely. This MCP is built for asynchronous execution, guaranteeing that the output from the function can be streamed back to your client as it becomes available.

This MCP touches general structured data. Vinkius ensures that all credentials pass through a zero-trust proxy and aren't stored on disk, keeping your keys safe.

Not really. You just need to pass the MCP client into your existing streaming flow. The tool handles the connection details, making it straightforward to integrate.

Yes. The real power is chaining. You can combine this MCP with billing or CRM tools to build automations that span multiple platforms, all through one agent.

Use it with your favorite AI tools

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