Spinqit MCP Tools

🚀 spinqit_mcp_tools Installation Guide

This project is built upon the mcp-server, enabling AI large models to efficiently access SpinQ's quantum computing hardware resources. It offers one - click installation scripts for spinqit_mcp_tools on Windows and macOS. These scripts automatically verify the Python environment (Python 3.10 or higher is required) and install the necessary spinqit_mcp_tools dependency package. If a suitable Python environment is not found, the scripts will either attempt to create one using Conda or guide users through manual Python installation.

🚀 Quick Start

This guide will walk you through the installation process of spinqit_mcp_tools. You can choose either script - based or manual installation methods according to your needs.

✨ Features

• One - click Installation: Automatically check the Python environment and install the required dependency package.
• Cross - platform Support: Support installation on both Windows and macOS.
• Environment Management: Create a Conda environment if necessary.

📦 Installation

Prerequisites

Before running the installation scripts, make sure the following requirements are met:

• Python 3.10 or higher: spinqit_mcp_tools requires Python 3.10 or later.
• Conda (optional): If Python 3.10 is not installed, the scripts can use Anaconda to create an environment. Download it from Anaconda.
• Internet connection: Required for downloading the spinqit_mcp_tools package via pip.
• macOS terminal permissions: Ensure the terminal supports bash.

Script Installation Steps

Windows

1. Download the Script
   • Download the mcpenv - installer - win - x86_64.bat script from the following link: Download Windows Installation Script
2. Run the Script
   • Double - click mcpenv - installer - win - x86_64.bat to start the installation.
3. Script Behavior
   • If Python 3.10 or higher is already installed: The script will directly install the spinqit_mcp_tools package and output the Python environment path and the mcp - server execution command.
   • If Python 3.10 is not installed but Conda is available: The script will create a Conda environment named mcp - server - py310 (using Python 3.10), install the dependencies, and output the environment path and execution command.
   • If neither Python 3.10 nor Conda is installed: The script will prompt you to download and install Python 3.10 or Conda from Python's official website or Anaconda's official website. After installation, rerun the script.
4. Successful Installation
   • 
   • Note the execution command (e.g., C:\ProgramData\Anaconda3\envs\mcp - server - py310\python.exe -m spinqit_mcp_tools.qasm_submitter in this example) and register an account at cloud.spinq.cn to configure your public key.
   • Input the execution command, PRIVATEKEYPATH, and SPINQCLOUDUSERNAME into your mcp server settings.

macOS

1. Download the Script
   • Download the mcpenv - installer - mac.sh script from the following link: Download macOS Installation Script
2. Run the Script
   • Execute the script with:

     sudo bash ./mcpenv - installer - mac.sh
     

3. Script Behavior
   • Similar to the Windows script, the macOS script will:
     • Check for Python 3.10 or higher. If found, it will install spinqit_mcp_tools.
     • If Python 3.10 is not found, it will check for Conda and create a mcp - server - py310 environment.
     • If neither Python 3.10 nor Conda is installed, it will prompt you to install Python 3.10 or Conda and then rerun the script.

Output Results

After successful execution, the script will output the following information:

• Python environment path: The path to the Python executable, e.g.:
  • Windows: C:\path\to\conda\envs\mcp - server - py310\python.exe
  • macOS: /path/to/conda/envs/mcp - server - py310/bin/python
• mcp - server execution command: The command to run mcp - server, e.g.:
  • Windows: C:\path\to\conda\envs\mcp - server - py310\python.exe -m spinqit_mcp_tools.qasm_submitter
  • macOS: /path/to/conda/envs/mcp - server - py310/bin/python -m spinqit_mcp_tools.qasm_submitter

Save this information for configuring and running spinqit_mcp_tools.

Troubleshooting

• Python not found or version below 3.10:
  • Download and install Python 3.10 from Python's official website, ensuring it is added to PATH.
  • Rerun the script after installation.
• Conda not recognized:
  • Ensure Anaconda is installed and added to PATH if Python 3.10 or higher is not present.
• pip installation failure:
  • Check your internet connection.
• Conda environment creation failure:
  • Verify Conda is properly installed or reinstall it from Anaconda's official website.

Manual Installation Steps

• Install Python 3.10 or higher, then run: pip install spinqit_mcp_tools
• Configure python -m spinqit_mcp_tools.qasm_submitter as the mcp - client startup command.

Usage

• Use the Python installation directory to run:
  • /pathtopython/python -m spinqit_mcp_tools.qasm_submitter

Environment Testing (Create and submit a 2 - qubit quantum circuit QASM to the cloud platform and view results)

Cursor

• Configuration method 
• Results 
• Configuration settings

  {
    "mcpServers": {
      "qasm - submitter": {
        "type": "stdio",
        "command": "cmd",
        "args": [
          "/C",
          "C:\\Users\\ylin\\.conda\\envs\\mcp - server - py310\\python.exe",
          "-m",
          "spinqit_mcp_tools.qasm_submitter"
        ],
        "env": {
          "PRIVATEKEYPATH":"<Your Privatekey Path>",
          "SPINQCLOUDUSERNAME":"<Your SpinQ Cloud Username>"
        }
      }
    }
  }
  

VSCode Client Plugin

• Configuration settings:

  {
    "mcpServers": {
      "qasm - submitter": {
        "disabled": false,
        "timeout": 60,
        "transportType": "stdio", 
        "command": "cmd",
        "args": [
          "/C",
          "C:\\Users\\ylin\\.conda\\envs\\mcp - server - py310\\python.exe",
          "-m",
          "spinqit_mcp_tools.qasm_submitter"
        ],
        "env": {
          "PRIVATEKEYPATH": "<Your Privatekey Path>",
          "SPINQCLOUDUSERNAME": "<Your SpinQ Cloud Username>"
        }
      }
    }
  }
  

• Configuration method 
• Results 

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.