How to Use the IBM Quantum MCP in Mastra AI
Build resilient quantum workflows with Mastra AI and the IBM Quantum MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up IBM Quantum MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All IBM Quantum tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
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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Built-in savings
60%
lower AI costs
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Common questions about IBM Quantum MCP in Mastra AI
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