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Mathematical Calculator MCP Server

Mathematical Calculator MCP Server

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github.com/huhablaScience & Education63Updated 63w ago

About Mathematical Calculator MCP Server

Mathematical Calculator MCP Server is an MCP server that gives Claude symbolic math, statistical analysis and matrix operations. Built with FastMCP, SymPy and NumPy/SciPy, it suits users who want Claude to run exact calculations.

Key features

  1. 01Basic expression evaluation
  2. 02Equation solving for linear, quadratic and polynomial forms
  3. 03Symbolic derivatives and integrals
  4. 04Statistics including regression and confidence intervals
  5. 05Matrix addition, multiplication and transposition

Use cases

  1. 01Solving algebraic equations through Claude
  2. 02Computing descriptive statistics for a dataset
  3. 03Running linear regression on a set of data points

MCP support

This is an MCP server that connects to Claude Desktop over stdio and exposes its math functions as tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Mathematical Calculator MCP Server

This is a Model Context Protocol (MCP) server that provides Claude with advanced mathematical calculation capabilities, including symbolic math, statistical analysis, and matrix operations.

Features

The Mathematical Calculator MCP Server provides the following tools:

  • Basic Calculations: Evaluate mathematical expressions safely
  • Symbolic Mathematics:
    • Solve equations (linear, quadratic, polynomial, etc.)
    • Calculate derivatives of expressions
    • Compute integrals of expressions
  • Statistical Analysis:
    • Mean, median, mode
    • Variance, standard deviation
    • Correlation coefficient
    • Linear regression
    • Confidence intervals
  • Matrix Operations:
    • Matrix addition
    • Matrix multiplication
    • Matrix transposition

Installation

Prerequisites
  • Python 3.10+ (recommended: Python 3.11+)
  • uv (recommended) or pip
  • Claude Desktop app (to use the MCP server with Claude)
Installation Steps
  1. Clone the repository:

    git clone https://github.com/huhabla/calculator-mcp-server.git
    cd calculator-mcp-server
    
  2. (Option 1) Setup with the provided script:

    chmod +x setup_venv.sh
    ./setup_venv.sh
    

    (Option 2) Or manually set up the virtual environment:

    python3 -m venv venv
    source venv/bin/activate
    pip install -r requirements.txt
    
  3. Run doc-tests to verify everything works:

    bash run_doctests.sh
    

Integration with Claude Desktop

Method 1: Configure in Claude Desktop

Add the server to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following to the mcpServers section:

{
  "mcpServers": {
    "calculator": {
      "command": "uvx",
      "args": [
        "--from",
        "calculator-mcp-server@git+https://github.com/huhabla/calculator-mcp-server.git",
        "--",
        "calculator-mcp-server",
        "--stdio"
      ]
    }
  }
}

Note: The --stdio flag is required for proper integration with Claude Desktop. The -- separates uvx arguments from the calculator server arguments.

Method 2: Install with FastMCP
  1. Make sure you have uv installed (Installation Guide)

  2. Install the MCP server in Claude Desktop:

    fastmcp install calculator_server.py
    

    Or with a custom name:

    fastmcp install calculator_server.py --name "Math Calculator"
    
  3. Once installed, Claude will automatically have access to all the mathematical tools and functions.

Usage Examples

After integrating with Claude Desktop, you can ask Claude to perform various mathematical operations. Here are some examples:

Basic Calculations
Can you calculate 3.5^2 * sin(pi/4)?
Solving Equations
Solve the following equation: x^2 - 5x + 6 = 0
Calculating Derivatives
What's the derivative of sin(x^2) with respect to x?
Computing Integrals
Calculate the integral of x^2 * e^x
Statistical Analysis
Find the mean, median, mode, and standard deviation of this dataset: [23, 45, 12, 67, 34, 23, 18, 95, 41, 23]
Linear Regression
Perform a linear regression on these points: (1,2), (2,3.5), (3,5.1), (4,6.5), (5,8.2)
Matrix Operations
Multiply these two matrices:
[1, 2, 3]
[4, 5, 6]

and

[7, 8]
[9, 10]
[11, 12]

Development

Testing

Run the comprehensive doctest suite:

bash run_doctests.sh
Interactive Development Mode

For development and debugging, you can use the FastMCP development mode:

fastmcp dev calculator_server.py

This will start a local web interface where you can test all tools interactively.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

  • FastMCP for the Pythonic MCP server framework
  • SymPy for symbolic mathematics
  • NumPy and SciPy for numerical and statistical computations

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