IBM Quantum MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect IBM Quantum through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="IBM Quantum Assistant",
instructions=(
"You help users interact with IBM Quantum. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from IBM Quantum"
)
print(result.final_output)
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 OpenAI Agents SDK via MCP
Follow these steps to integrate the IBM Quantum MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from IBM Quantum
Why Use OpenAI Agents SDK with the IBM Quantum MCP Server
OpenAI Agents SDK provides unique advantages when paired with IBM Quantum through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
IBM Quantum + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the IBM Quantum MCP Server delivers measurable value.
Automated workflows: build agents that query IBM Quantum, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries IBM Quantum, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through IBM Quantum tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query IBM Quantum to resolve tickets, look up records, and update statuses without human intervention
IBM Quantum MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect IBM Quantum to OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting IBM Quantum to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
IBM Quantum + OpenAI Agents SDK FAQ
Common questions about integrating IBM Quantum MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect IBM Quantum with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.