How to Use the IBM Quantum MCP in AutoGen

Q: How do AutoGen agents collaborate on IBM Quantum job execution?

You register the MCP tools with an AssistantAgent using mcpservertools. One agent can analyze queue lengths via listbackends while another uses submitjob to route circuits based on that analysis.

Q: Can AutoGen handle quantum job failures autonomously?

Yes, your agents can negotiate recovery steps. If getjobdetails returns a failed status, a debugger agent can inspect the error payload, modify the circuit, and trigger submitjob again.

Q: How do I configure the IBM Quantum MCP Server in AutoGen?

Install autogen-extmcp and configure StreamableHttpServerParams with your Vinkius URL. Use the McpToolAdapter to automatically map the 8 quantum tools to your AutoGen agents.

Q: Can I restrict which AutoGen agents can cancel IBM Quantum jobs?

Yes, you can assign tools selectively. Give the canceljob and submitjob tools only to your executor agent, while letting other agents use read-only tools like listjobs and getjobresult.

Run multi-agent debates to validate and execute quantum circuits on IBM Quantum with AutoGen.

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Setup IBM Quantum with AutoGen

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Validate circuits using the AutoGen MCP Server

This MCP Server lets your AutoGen agents collaborate before running physical hardware experiments by using `get_backend_details` to verify that the target hardware supports the required gate set. A designer agent drafts a quantum circuit, while a validator agent checks the specs. Once the agents agree on the configuration, the executor agent calls `submit_job` to run the circuit. This multi-agent consensus prevents wasted compute credits on incompatible hardware topologies.

Cooperative queue monitoring and cancellation

The `list_jobs` tool lets your AutoGen agents track active jobs cooperatively during automated queue discussions. One agent tracks active jobs, while another monitors queue times returned by `list_backends`. If a job gets stuck, the performance agent proposes a cancellation. The safety agent reviews the cost implications, and upon consensus, the executor agent calls `cancel_job` to stop the run.

Consensus-driven provider routing in AutoGen

The `list_providers` tool allows your agents to negotiate which hub, group, and project to bill for each execution. Your agents debate the budget allocation based on the priority of the quantum experiment. After choosing the provider, the agents call `get_job_result` to retrieve the quantum state data. The analyzer agent then interprets the raw arrays and presents the findings to the group.

Setup guide

Set up IBM Quantum MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes IBM Quantum tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="IBM Quantum_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent IBM Quantum data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="IBM Quantum_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent IBM Quantum data")
    print(result.messages[-1].content)

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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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Common questions about IBM Quantum MCP in AutoGen

You register the MCP tools with an `AssistantAgent` using `mcp_server_tools`. One agent can analyze queue lengths via `list_backends` while another uses `submit_job` to route circuits based on that analysis.

Yes, your agents can negotiate recovery steps. If `get_job_details` returns a failed status, a debugger agent can inspect the error payload, modify the circuit, and trigger `submit_job` again.

Install `autogen-ext[mcp]` and configure `StreamableHttpServerParams` with your Vinkius URL. Use the `McpToolAdapter` to automatically map the 8 quantum tools to your AutoGen agents.

Yes, you can assign tools selectively. Give the `cancel_job` and `submit_job` tools only to your executor agent, while letting other agents use read-only tools like `list_jobs` and `get_job_result`.

Vinkius runs the MCP server in an ephemeral, zero-trust environment where your API credentials are encrypted at rest. AutoGen agents only interact with the clean tool interfaces, keeping your raw authentication headers completely hidden from the LLM conversation.

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