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Computing MCP Server

@YuChenSSR

基本情報

カテゴリ

その他

トランスポート

stdio

作者

YuChenSSR

投稿者

Yu Chen

Computing MCP Server について

概要はまだありません

Computing MCP Server の設定

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": {
    "computing-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/tmp:/app/shared",
        "ychen94/computing-mcp:latest"
      ]
    }
  }
}

Computing MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Computing Mcp?

Computing Mcp is a scientific computing MCP server that allows AI assistants like Claude to perform symbolic computing, numerical calculations, data analysis, and generate visualizations within a containerized environment. It is designed for scientific and engineering applications, including quantum computing.

How to use Computing Mcp?

Pull the Docker image from Docker Hub and run it with a mount volume. For integration, add the Docker run command as an MCP server in Claude for Desktop’s configuration file.

Key features of Computing Mcp

  • Run computations with NumPy, SciPy, SymPy, Pandas
  • Symbolic mathematics and differential equation solving
  • Linear algebra and matrix manipulations
  • Quantum computing analysis
  • Data visualizations with Matplotlib and Seaborn
  • Machine learning with scikit-learn
  • Cross-platform support for Windows, macOS, Linux

Use cases of Computing Mcp

  • Solving and visualizing differential equations
  • Performing clustering analysis on sample datasets
  • Calculating and visualizing tensor products
  • Exploring quantum computing operations

よくある質問

1

How do I resolve permission errors with volume mounts?

Ensure the mount directory exists and has appropriate permissions.

2

What if plot picture files are not appearing?

Check the host path (e.g., `/tmp` for macOS/Linux) and verify Docker can write to the mount location. The MCP tool’s output content will indicate where the file is saved.

3

What operating systems are supported?

The server automatically detects Windows, macOS, and Linux, and works on both Intel/AMD (x86_64) and ARM processors, including Mac M series chips.

4

How do I report issues?

Open a GitHub issue with error messages, your operating system and Docker version, and steps to reproduce the problem.

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