IBM Quantum MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add IBM Quantum as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="ibm_quantum_agent",
tools=tools,
system_message=(
"You help users with IBM Quantum. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About IBM Quantum MCP Server
Connect IBM Quantum to any AI agent via MCP.
How to Connect IBM Quantum to AutoGen via MCP
Follow these steps to integrate the IBM Quantum MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from IBM Quantum automatically
Why Use AutoGen with the IBM Quantum MCP Server
AutoGen provides unique advantages when paired with IBM Quantum through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use IBM Quantum tools to solve complex tasks
Role-based architecture lets you assign IBM Quantum tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive IBM Quantum tool calls
Code execution sandbox: AutoGen agents can write and run code that processes IBM Quantum tool responses in an isolated environment
IBM Quantum + AutoGen Use Cases
Practical scenarios where AutoGen combined with the IBM Quantum MCP Server delivers measurable value.
Collaborative analysis: one agent queries IBM Quantum while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from IBM Quantum, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using IBM Quantum data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process IBM Quantum responses in a sandboxed execution environment
IBM Quantum MCP Tools for AutoGen (8)
These 8 tools become available when you connect IBM Quantum to AutoGen via MCP:
cancel_job
Cancel a quantum job
get_backend_details
Get details for a specific quantum backend
get_job_details
Get details for a specific quantum job
get_job_result
Get the result of a quantum job
list_backends
List available quantum backends (devices)
list_jobs
List quantum jobs
list_providers
List IBM Quantum providers
submit_job
Submit a quantum job
Troubleshooting IBM Quantum MCP Server with AutoGen
Common issues when connecting IBM Quantum to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"IBM Quantum + AutoGen FAQ
Common questions about integrating IBM Quantum MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect IBM Quantum with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IBM Quantum to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
