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How to Use the IBM Quantum MCP in Mastra AI

Build resilient quantum workflows with Mastra AI and the IBM Quantum MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect IBM Quantum MCP to Mastra AI

Create your Vinkius account to connect IBM Quantum to Mastra AI 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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Automated quantum job retries

Configure your Mastra workflow to catch failures from `submit_job` and trigger an automatic retry. This ensures your quantum experiments don't stall due to transient network issues. You define the retry logic within the agent workflow, keeping your research pipeline moving without manual intervention. It handles the backoff timing automatically.

Conditional quantum circuit branching

Use `get_job_details` as a trigger for your agent's decision nodes. If the circuit fidelity is too low, the agent can choose to skip the job or try a different backend. This makes your Mastra AI agent act like a researcher. It evaluates the system state before committing to expensive compute time on specific hardware.

Human-in-the-loop quantum execution

Enable requireToolApproval for `submit_job` to ensure you review every circuit before it hits the hardware. This prevents accidental overspend on your compute quota. The agent pauses execution until you grant permission inside the Mastra console. It is the safest way to manage high-cost quantum operations.

Setup guide

Set up IBM Quantum MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All IBM Quantum tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "ibm-quantum-mcp-client",
  servers: {
    "ibm-quantum-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "IBM Quantum Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to IBM Quantum tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent IBM Quantum transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBM Quantum. 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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place for every integration

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Common questions about IBM Quantum MCP in Mastra AI

Mastra maintains the state of your workflow steps. You use `list_jobs` to sync the agent's memory with the actual IBM backend history.
You absolutely can. By adding this MCP Server to your agent config, you gain direct access to quantum hardware tools within your logic chain.
Implement a catch block in your workflow that calls `cancel_job` if a process hangs. This keeps your queue clean and prevents wasted credits.
The server uses your local environment variables to authenticate. Your credentials never leave your secure runtime environment.
Yes. The agent uses `list_backends` to scan for the best device based on your requirements. It then selects the appropriate ID for `submit_job`.

Start using the IBM Quantum MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for IBM Quantum. Just plug in your AI agents and start using Vinkius.

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