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Comprehensive Math calculation MCP server, providing basic arithmetic, matrix calculation, statistical analysis, calculus, optimization, regression, geometry, number theory, signal processing, financial mathematics, and probability calculations with data visualization.
A Python-based mathematical computation MCP server, providing a suite of mathematical computation tools and plotting utilities.
uvx math-mcp # using uvx
# Or run the .py file directly (dependencies must be installed manually)
python math_mcp/math_mcp_server.py
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
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"
}
}
}
}
FAQs
Comprehensive Math calculation MCP server, providing basic arithmetic, matrix calculation, statistical analysis, calculus, optimization, regression, geometry, number theory, signal processing, financial mathematics, and probability calculations with data visualization.
We found that math-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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