abhiphile/fermat-mcp

Overview

Fermat MCP is a Python-based Model Context Protocol server that integrates SymPy, NumPy, and Matplotlib into a single math engine. It allows AI agents to perform symbolic and numerical computations and generate plots through a unified interface.

Best for

Best for
Developers and researchers who want to give AI agents direct access to symbolic math, numerical computing, and plotting.

Use cases

• Perform symbolic algebra and calculus via SymPy through an AI agent
• Run numerical computations and array operations with NumPy
• Generate and return Matplotlib plots from mathematical expressions

How to use

Install

npx -y @smithery/cli install @abhiphile/fermat-mcp --client gemini

Tools exposed

• plot_barchart
• plot_scatter
• plot_chart
• plot_stem
• plot_stack
• eqn_chart

Tested with

Windsurf

Notes

Fermat MCP is a Python-based Model Context Protocol server that integrates SymPy, NumPy, and Matplotlib into a single math engine. It allows AI agents to perform symbolic and numerical computations and generate plots through a unified interface.

16 stars on GitHub. Last updated 2025-10-08. Licensed MIT.

Use cases

• Perform symbolic algebra and calculus via SymPy through an AI agent
• Run numerical computations and array operations with NumPy
• Generate and return Matplotlib plots from mathematical expressions

Pros

• Combines three major Python math libraries in one server
• Enables AI agents to do math and plotting without separate tools
• Lightweight and easy to set up for developers

Cons

• Small community with only 16 GitHub stars
• Limited documentation and examples beyond the repository
• Requires Python environment and dependency management

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