IBM Quantum MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add IBM Quantum as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
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Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="ibm_quantum_agent",
instruction=(
"You help users interact with IBM Quantum "
"using 8 available tools."
),
tools=[mcp_tools],
)
* 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 Google ADK via MCP
Follow these steps to integrate the IBM Quantum MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from IBM Quantum via MCP
Why Use Google ADK with the IBM Quantum MCP Server
Google ADK provides unique advantages when paired with IBM Quantum through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with IBM Quantum
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine IBM Quantum tools with BigQuery, Vertex AI, and Cloud Functions
IBM Quantum + Google ADK Use Cases
Practical scenarios where Google ADK combined with the IBM Quantum MCP Server delivers measurable value.
Enterprise data agents: ADK agents query IBM Quantum and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine IBM Quantum tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query IBM Quantum regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including IBM Quantum
IBM Quantum MCP Tools for Google ADK (8)
These 8 tools become available when you connect IBM Quantum to Google ADK 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 Google ADK
Common issues when connecting IBM Quantum to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkIBM Quantum + Google ADK FAQ
Common questions about integrating IBM Quantum MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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 Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.