Computing Mcp

Name: Computing Mcp
Author: YuChenSSR

@YuChenSSR

リポジトリ

Computing Mcp について

概要はまだありません

#mathgpt #math-solver #math-assistant

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

YuChenSSR

投稿者

Yu Chen

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"
      ]
    }
  }
}

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 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

FAQ from Computing Mcp

How do I resolve permission errors with volume mounts?

Ensure the mount directory exists and has appropriate permissions.

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.

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.

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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