How to Use the Automate.io MCP in Vercel AI SDK

Q: How do I connect Automate.io to Vercel AI SDK?

Install @ai-sdk/mcp and use createMCPClient. Point the HTTP transport URL to your Vinkius endpoint, then pass the resulting tools into streamText.

Q: How do I close the MCP connection?

Always call mcpClient.close() when your edge function finishes. Leaving connections open causes memory leaks in production environments.

Stream Automate.io bot status and execution logs directly into your React or Next.js frontend using Vercel AI SDK.

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Connect Automate.io MCP to Vercel AI SDK

Create your Vinkius account to connect Automate.io to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Automate.io with Vercel AI SDK

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Stream Bot Runs via Vercel AI SDK

The `list_bot_runs` and `list_bots` tools feed execution logs straight into your UI components. Instead of making users wait for a backend cron job to finish, your agent pulls real-time workflow statuses and streams them to the browser. Building dashboard widgets gets much easier when the client handles the fetching. You call the MCP tools inside `streamText`, and the customer immediately sees which bots succeeded or failed without a loading spinner in sight.

Render Active Integrations Live

Fetching supported platforms happens instantly with `list_apps` and `list_connections`. Your Next.js app asks the MCP server what accounts the user linked, and the frontend updates as the data arrives. Users want to know if their Slack or Gmail hooks are active right now. Passing these tools to `generateText` lets your agent verify authorized endpoints on the fly, rendering the exact connection state without custom API routes.

Display Real-Time Billing Usage

The `get_usage` tool grabs active account billing stats so your frontend can show quota limits before a user hits them. Your Svelte app can warn customers when they approach their monthly task cap. Nobody likes surprise overages. Combining this MCP Server integration with Vercel's Edge Functions means you check usage at the edge, keeping the response fast and the user informed.

Setup guide

Set up Automate.io 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 Automate.io 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 Automate.io 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 Automate.io. 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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Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Automate.io MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and use `createMCPClient`. Point the HTTP transport URL to your Vinkius endpoint, then pass the resulting tools into `streamText`.

Yes, the SDK streams tool results directly to the client. When your agent calls `list_bot_runs`, the execution history appears in the React component as it arrives.

You only need a single Vinkius endpoint token. The platform handles the actual authentication credentials behind the scenes.

Always call `mcpClient.close()` when your edge function finishes. Leaving connections open causes memory leaks in production environments.

The server accesses bot configurations and connection lists, but never exposes the raw OAuth tokens for your linked apps. Vinkius runs this isolated instance in an ephemeral V8 sandbox that destroys itself after your request completes.

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