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Computing MCP

YuChenSSR/symbolica-mcp

A scientific computing Model Context Protocol (MCP) server allows AI, such as Claude, to perform symbolic computing, conduct calculations, analyze data, and generate visualizations. This is particularly useful for scientific and engineering applications, including quantum computing, all within a containerized environment.

View on GitHub8

Install

docker run -i --rm -v /tmp:/app/shared ychen94/computing-mcp:latest

Client configuration

{
  "mcpServers": {
    "computing-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/tmp:/app/shared",
        "ychen94/computing-mcp:latest"
      ]
    }
  }
}
GitHub stars
8
Author
@YuChenSSR
Category
Research & Data, Developer Tools
License
MIT
Updated
Oct 6, 2026

Features

  • Run scientific computing operations with NumPy, SciPy, SymPy, Pandas

  • Perform symbolic mathematics and solve differential equations

  • Support for linear algebra operations and matrix manipulations

  • Quantum computing analysis

  • Create data visualizations with Matplotlib and Seaborn

  • Perform machine learning operations with scikit-learn

  • Execute tensor operations and complex matrix calculations

  • Analyze data sets with statistical tools

  • Cross-platform support (automatically detects Windows, macOS, and Linux), especially for users with Mac M series chips

  • Works on both Intel/AMD (x86_64) and ARM processors

Details on this page are taken from the project's README. Open README

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