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SpinQit MCP Tools

SpinQit MCP Tools

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github.com/SpinQTechScience & Education2Updated 17w ago

About SpinQit MCP Tools

SpinQit MCP Tools is a Python server for connecting AI assistants to SpinQ quantum-computing resources. It supports QASM circuit submission and result retrieval, with scripts to install its Python environment.

Key features

  1. 01Submit QASM circuits to SpinQ Cloud
  2. 02Retrieve quantum task results
  3. 03Install scripts for Windows and macOS
  4. 04Python 3.10 and Conda environment setup

Use cases

  1. 01Submit a quantum circuit to SpinQ Cloud
  2. 02Check results from quantum computing tasks
  3. 03Set up the server environment on Windows or macOS

MCP support

The server exposes SpinQ quantum-computing capabilities to MCP clients, including QASM submission and task result retrieval. It is configured with SpinQ Cloud credentials and host settings.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

spinqit_mcp_tools Installation Guide

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

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

  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

    • alt text
    • 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

  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:
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

      alt text

    • Results

      alt text

    • 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

      alt text

    • Results

      alt text

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.