agmonetti/mathmethods-mcp

Overview

MCP server for numerical methods and dynamic systems. It exposes tools for root finding, integration, ODEs, Monte Carlo, 1D/2D dynamical systems, and combat models. Written in Python.

Best for

Best for
Developers who want numerical methods accessible through MCP

Use cases

• Find roots of equations numerically
• Integrate functions and solve ODEs
• Simulate dynamical systems and Monte Carlo models

How to use

Install

npx @modelcontextprotocol/inspector node server.py   # or

Tools exposed

• root_bisection
• root_newton_raphson
• root_punto_fijo
• root_aitken
• root_comparar
• integral_rectangulo
• integral_trapecio
• integral_simpson13
• integral_simpson38
• integral_comparar
• finite_differences
• ode_rk4
• ode_heun
• ode_euler
• interpolation_lagrange
• mc_hit_or_miss_1d
• mc_valor_promedio_1d
• mc_valor_promedio_2d
• mc_valor_promedio_3d
• mc_estadistico_1d

Tested with

Claude Desktop, Claude Code, Cursor, VS Code

Notes

MCP server for numerical methods and dynamic systems. It exposes tools for root finding, integration, ODEs, Monte Carlo, 1D/2D dynamical systems, and combat models. Written in Python.

1 stars on GitHub. Last updated 2026-09-11. Licensed MIT.

Use cases

• Find roots of equations numerically
• Integrate functions and solve ODEs
• Simulate dynamical systems and Monte Carlo models

Pros

• Covers multiple numerical domains in one server
• Python-based and MCP-compatible
• Useful for automating math workflows

Cons

• Very early stage with only 1 star
• Limited community and documentation
• No evidence of production hardening

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.