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Spinqit_task_manager

@eeeeeeeason

リポジトリ

Spinqit_task_manager について

概要はまだありません

基本情報

カテゴリ

生産性

トランスポート

stdio

公開者

eeeeeeeason

投稿者

YuCheng Lin

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "qasm-submitter": {
      "type": "stdio",
      "command": "cmd",
      "args": [
        "/C",
        "C:\\Users\\ylin\\.conda\\envs\\mcp-server-py310\\python.exe",
        "-m",
        "spinqit_task_manager.qasm_submitter"
      ],
      "env": {
        "PYTHONPATH": "<your python path>",
        "PRIVATEKEYPATH": "<your privatekey path>",
        "SPINQCLOUDUSERNAME": "<user name in spinq quantum cloud>"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Spinqit_task_manager?

Spinqit_task_manager is an MCP server that integrates QASM quantum task compilation, signing, cloud submission, and result querying into a single workflow. It communicates via the stdio protocol and is designed for quantum algorithm developers using IDEs like VS Code or Cursor with SpinQ Cloud.

How to use Spinqit_task_manager?

Install using the provided one‑click scripts (Windows .bat or macOS .sh), which automatically set up Python/Conda dependencies. Configure your IDE plugin with the output Python path and command, then set the environment variables SPINQCLOUDUSERNAME and PRIVATEKEYPATH for authentication.

Key features of Spinqit_task_manager

  • One‑click installation with automated Python/Conda detection.
  • Standard MCP stdio protocol for IDE integration.
  • Full QASM task lifecycle: compile, sign, submit, query.
  • Secure authentication via local username and private key.
  • Detailed logging and error messages for debugging.

Use cases of Spinqit_task_manager

  • Quantum algorithm developers submitting QASM tasks directly from their local IDE.
  • Automated quantum experiments and result tracking in teaching or research.
  • Plugin development and integration testing for quantum cloud platforms.

FAQ from Spinqit_task_manager

What are the runtime requirements?

Python 3.10+ or Anaconda/Miniconda is recommended. A stable network connection is required for cloud submission.

How do I configure authentication?

Set the environment variables SPINQCLOUDUSERNAME (your SpinQ Cloud username) and PRIVATEKEYPATH (path to your private key) before starting the server.

What should I do if the MCP connection closes?

Ensure that your IDE plugin configuration uses the correct Python path and command from the installation output, that the Python environment is activated, and that environment variables are correctly set.

How do I resolve pip installation failures?

Check your network connection or try switching to a different pip mirror.

Can I use Spinqit_task_manager without the installer scripts?

The README does not describe manual installation steps; the one‑click scripts are the recommended method.

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