Math Mcp Server

What is Math Mcp Server

The Math MCP Server is a Python-based server designed to provide a variety of mathematical computation tools and plotting utilities for users needing mathematical processing capabilities.

Use cases

It can be employed in diverse applications such as basic arithmetic operations, matrix computations, statistical analysis, calculus, optimization problems, regression analysis, data visualization, and more specialized fields like signal processing and financial mathematics.

How to use

To run the server, users can utilize the command ‘uvx math-mcp’ or directly execute the Python script ‘math_mcp_server.py’ if dependencies are pre-installed. Configuration in Claude Desktop involves adding the appropriate JSON structure specifying the server details.

Key features

Key features of the Math MCP Server include a modular design with dedicated files for various mathematical computations, capabilities for advanced statistical analyses, graph theory analysis, and a range of plotting utilities for data visualization.

Where to use

This server is suitable for use in academic environments for teaching mathematics, research projects requiring complex calculations, data analysis tasks in industries, and any applications involving mathematical modeling and visualization.

Math MCP Server

A Python-based mathematical computation MCP server, providing a suite of mathematical computation tools and plotting utilities.

Run mcp server

uvx math-mcp # using uvx

# Or run the .py file directly (dependencies must be installed manually)
python math_mcp/math_mcp_server.py

Project Structure

math_mcp/
├── __init__.py                      # Package initialization
├── __main__.py                      # CLI entry point
├── math_mcp_server.py               # Main server file (MCP tool registration)
├── file_utils.py                    # File path utilities
# Core computation modules
├── basic.py                         # Basic math computation
├── matrix.py                        # Matrix computations
├── mstatistics.py                   # Statistical analysis (avoid conflicts)
├── calculus.py                      # Calculus
├── optimization.py                  # Optimization algorithms
├── regression.py                    # Regression analysis
├── plotting.py                      # Data visualization
├── geometry.py                      # Geometric computations
├── number_theory.py                 # Number theory
├── complex_analysis.py              # Complex analysis
├── probability.py                   # Probability and statistics
# Extended specialized modules
├── signal_processing.py             # Signal processing
├── financial.py                     # Financial mathematics
└── graph_theory.py                  # Graph theory analysis

Configuration in Claude Desktop

Add the following configuration to your Claude Desktop config file:

{
  "mcpServers": {
    "math-calculator": {
      "command": "uvx",
      "args": [
        "math-mcp"
      ],
      "env": {
        "OUTPUT_PATH": "path/to/output",
        "FONT_PATH": "path/to/font"
      }
    }
  }
}

Or start the server directly:

{
  "mcpServers": {
    "math-calculator-local": {
      "command": "path/to/python_interpreter",
      "args": [
        "path/to/math_mcp_server.py"
      ],
      "env": {
        "OUTPUT_PATH": "path/to/output",
        "FONT_PATH": "path/to/font"
      }
    }
  }
}