Computing Mcp

Name: Computing Mcp
Author: YuChenSSR

@YuChenSSR

代码仓库

关于 Computing Mcp

暂无概览

#mathgpt #math-solver #math-assistant

基本信息

分类

其他

传输方式

stdio

发布者

YuChenSSR

提交者

Yu Chen

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"
      ]
    }
  }
}

工具

未检测到工具

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

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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