How to Use the IBM Quantum MCP in Vercel AI SDK

Q: Can Vercel AI SDK handle long-running IBM Quantum jobs?

You should use getjobdetails to poll the status. It's better to store the job ID and check back periodically rather than holding the connection open.

Stream quantum circuit results directly into your Vercel AI SDK interface for live user feedback.

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Connect IBM Quantum MCP to Vercel AI SDK

Create your Vinkius account to connect IBM Quantum 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 IBM Quantum with Vercel AI SDK

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Real-time quantum backend discovery

Call `list_providers` and `list_backends` to populate your UI with live hardware availability. Your AI client pulls the current queue status directly from IBM systems. This keeps your users informed on which quantum processors are ready for immediate circuit execution. You avoid stale data by querying the state before the user initiates a job.

Live job submission via Vercel AI SDK

Pass `submit_job` into your generateText function to let the model push circuits to the hardware. The MCP Server handles the handshake while your frontend stays responsive. Since you are using edge-compatible tools, the job submission triggers without blocking your main execution thread. Users see the status update as the agent confirms the receipt.

Instant result streaming

Hook `get_job_result` into your response stream to display quantum output as soon as the hardware finishes the run. Your interface updates without manual page refreshes. Use `get_job_details` alongside the result to show circuit fidelity metrics to the end user. It turns raw quantum data into a clear visual component inside your React app.

Setup guide

Set up IBM Quantum 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 IBM Quantum 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 IBM Quantum transactions",
});

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

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Common questions about IBM Quantum MCP in Vercel AI SDK

You initialize the client with createMCPClient and point it to the server URL. Once connected, spread the tools into your agent definition to start running circuits.

Yes. The tools return data that integrates with your streamText calls. This allows your app to render quantum output buffers as they arrive.

You should use `get_job_details` to poll the status. It's better to store the job ID and check back periodically rather than holding the connection open.

The server only handles transit for your API keys and circuit payloads. No quantum result data persists on our infrastructure.

You can filter the tools array before passing it to your model. Only expose `submit_job` if you want the agent to execute code directly.

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