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Computing MCP Server

@YuChenSSR

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

YuChenSSR

提交者

Yu Chen

关于 Computing MCP Server

暂无概览

#mathgpt#math-solver#math-assistant

Computing MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Computing MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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