Agent-Ready with MCP Server

The Kipu Quantum Hub is now agent-ready, meaning you can access and manage your quantum computing resources directly through your favorite AI assistants like Claude, GitHub Copilot, and other AI-powered development tools. This opens up exciting new possibilities for working with quantum computing in a more natural, conversational way.

Imagine describing what you want to achieve in plain language and having your AI assistant handle the complexities of job submission, circuit optimization, and result analysis. Whether you're prototyping quantum algorithms, managing computational resources, or analyzing experimental results, your AI agent can now assist you every step of the way.

The Kipu Quantum Hub MCP Server

The Kipu Quantum Hub MCP Server is a Model Context Protocol (MCP) server that bridges AI assistants with the Kipu Quantum Hub platform. MCP is an open standard that enables AI assistants to securely connect to external tools and data sources, extending their capabilities beyond conversation into real-world actions.

By installing the Kipu Quantum Hub MCP server, you give your AI assistant the ability to:

• Access your quantum resources - Query available quantum hardware, check system status, and view your computational quotas
• Manage quantum jobs - Submit, monitor, and retrieve results from quantum computations
• Work with quantum circuits - Help you design, optimize, and execute quantum algorithms
• Streamline your workflow - Handle routine tasks so you can focus on the science and innovation

The MCP server acts as a secure intermediary, authenticating your requests and translating natural language instructions into API calls to the Kipu Quantum Hub.

Setup

1. Prepare your personal access token

The MCP server uses this token to authenticate requests to the platform. You can use your default personal access token or create a dedicated access token in your account settings

Configure your AI Agent

Next configure your AI agent of choice to connect to the Kipu Quantum Hub MCP server. Most compatible AI assistants allow you to specify MCP servers in a JSON configuration file. For example:

• Claude Code: add a .mcp.json file to your home directory
• Claude Desktop: add the MCP server to the mcpServers section of the claude-desktop-config.json file.

Here is an example configuration. Replace <YOUR_PERSONAL_ACCESS_TOKEN> with your actual personal access token.

{
  "mcpServers": {
    "kipu-quantum-hub": {
      "command": "uvx",
      "args": ["kipu-quantum-hub-mcp"],
      "env": {
        "KIPU_ACCESS_TOKEN": "<YOUR_PERSONAL_ACCESS_TOKEN>"
      }
    }
  }
}

After updating the config file, restart your AI assistant to load the MCP server.

What You Can Do

With the Kipu Quantum Hub MCP server connected to your AI assistant, you can:

Natural Language Quantum Computing

Describe what you want to accomplish in natural language, and your AI assistant will help translate that into quantum operations on the Kipu Quantum Hub.

Streamlined Workflows

• Quickly submit quantum jobs without context-switching between tools
• Monitor multiple jobs and get intelligent summaries of their status
• Retrieve and analyze results with AI-assisted interpretation

Intelligent Resource Management

• Ask about available quantum hardware and get recommendations
• Check your computational quotas and resource usage
• Plan and schedule quantum experiments efficiently

Development Assistance

• Get help designing quantum circuits with real-time feedback
• Debug quantum algorithms with AI-powered analysis
• Optimize circuits for specific quantum hardware architectures

Example Use Cases

"What quantum backends are currently available on the Kipu Quantum Hub? Which one would be best for a 20-qubit circuit?"

"I want to learn about use cases for quantum computing in finance. What use cases are described on the Kipu Quantum Hub?"

"Help me find suitable services on the Kipu Quantum Hub for my optimization problem."

"Retrieve the results from my last three quantum jobs and compare their results."

"How do I get started using Kipu's Illay Base Quantum Optimizer?"

Additional Resources

• GitLab Repository: https://gitlab.com/planqk-foss/kipu-quantum-hub-mcp
• PyPI Package: https://pypi.org/project/kipu-quantum-hub-mcp/
• License: Apache License 2.0

Support

For issues, feature requests, or contributions, please visit the GitLab repository and open an issue or merge request.

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Ready to supercharge your quantum computing workflow with AI? Install the Kipu Quantum Hub MCP server and start exploring what's possible when you combine the power of quantum computing with intelligent assistance.