SpinQit Tools

This project is based on mcp-server to support efficient invocation of SpinQ quantum computing hardware resources by AI large models.

This project provides one-click installation scripts for spinqit_mcp_tools on Windows and macOS. These scripts automatically check the Python environment (Python 3.10 is recommended) and install the required spinqit_mcp_tools dependency package. If no suitable Python environment is found, the scripts will attempt to create one using Conda or guide users to manually install Python.

Table of Contents

• Prerequisites
• Script Installation Steps
  • Windows
  • macOS
  • Output Results
  • Troubleshooting
• Manual Installation Steps
• License

Prerequisites

Before running the installation scripts, ensure the following requirements are met:

• Python 3.10 recommended: Use Python 3.10 for the current spinqit_mcp_tools environment.
• 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 execute the installation.

3. Script Behavior

   • If Python 3.10 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, for example C:\ProgramData\Anaconda3\envs\mcp-server-py310\python.exe -m spinqit_mcp_tools.qasm_submitter.
   • Register an account at SpinQ Cloud, configure your public key, and add PRIVATEKEYPATH, SPINQCLOUDUSERNAME, and SPINQCLOUDHOST to your MCP server settings. The default host is http://cloud.spinq.cn:6060, and other host addresses are also supported.

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. 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 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.

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>",
            "SPINQCLOUDHOST": "http://cloud.spinq.cn:6060"
          }
        }
      }
    }
    

• VSCode Cline 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>",
            "SPINQCLOUDHOST": "http://cloud.spinq.cn:6060"
          }
        }
      }
    }
    

  • Configuration method

    

  • Results

    

Manual Installation Steps

• Install Python 3.10, then run:

  pip install spinqit_mcp_tools
  

• Configure python -m spinqit_mcp_tools.qasm_submitter as the MCP client startup command.

• Set the required environment variables: PRIVATEKEYPATH, SPINQCLOUDUSERNAME, and SPINQCLOUDHOST.

License

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