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Math MCP

by andylbrummerversion 0.1.6i★ –iRuns on your computer
Registry nameio.github.andylbrummer/math-mcp

Install

Overview

Description from the maker (original English)

GPU-accelerated MCP server: symbolic algebra, numerical computing, FFT, optimization, linear algebra

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "math": {
      "command": "uvx",
      "args": [
        "scicomp-math-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add math -- uvx scicomp-math-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "math": {
      "command": "uvx",
      "args": [
        "scicomp-math-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "math": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "scicomp-math-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account andylbrummer, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1393 servers in this category
  • Published to the registry more recently than 2% of the other 1393 servers in this category
  • Basic checks equal to or better than 100% of the other 1393 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Math MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.6) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 15 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

scicomp-math-mcp

mcp-name: io.github.andylbrummer/math-mcp

MCP server for symbolic algebra and GPU-accelerated numerical computing.

Overview

This server provides tools for mathematical computation combining symbolic algebra with numerical computing:

  • Symbolic mathematics - Equations, simplification, differentiation, integration (via SymPy)
  • GPU-accelerated numerics - Fast array operations and linear algebra
  • Mathematical transforms - FFT, optimization, root finding
  • Linear systems - Solving systems of equations with GPU acceleration

Installation & Usage

# Run directly with uvx (no installation required)

uvx scicomp-math-mcp

Or install with pip

pip install scicomp-math-mcp

Then run as a command

scicomp-math-mcp

Available Tools

Symbolic Computation
  • symbolic_solve - Solve symbolic equations
  • symbolic_diff - Compute derivatives
  • symbolic_integrate - Compute integrals
  • symbolic_simplify - Simplify expressions
Numerical Computing
  • create_array - Create arrays with various patterns
  • matrix_multiply - GPU-accelerated matrix multiplication
  • solve_linear_system - Solve Ax = b
  • fft / ifft - Fast Fourier transforms
  • optimize_function - Function minimization
  • find_roots - Find function roots

Configuration

Set the MCP_USE_GPU environment variable to enable GPU acceleration:

MCP_USE_GPU=1 scicomp-math-mcp

Examples

📖 Code Examples

Practical tutorials in EXAMPLES.md:

  • Projectile motion with symbolic + numerical computation
  • Chemical equilibrium analysis
  • Fourier signal analysis
  • Circuit analysis with linear systems
  • Progressive difficulty (beginner → advanced)
📚 Full Documentation

See the API documentation for complete API reference.

Part of Math-Physics-ML MCP System

Part of a comprehensive system for scientific computing. See the documentation for the complete ecosystem.

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