A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
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21 โ ยท abhiphile/fermat-mcp ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 10 sources
Score
score 1,003 ยท 21 โ ยท 10 sources ยท mcp
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repository abhiphile/fermat-mcp๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
This project provides a FastMCP server for mathematical computations, including numerical and symbolic calculations, as well as plotting. Modules 1. mpl_mcp - Matplotlib Integration | Feature | Description | |---------|-------------| | plot_barchart | Plots bar charts of given data values | | plot_scatter | Creates scatter plots from data points | | plot_chart | Plots line, scatter, or bar charts | | plot_stem | Creates stem plots for discrete data | | plot_stack | Generates stacked area/bar charts | | eqn_chart | Plots mathematical equations | 2. numpy_mcp - NumPy Integration | Category | Operations | |----------|------------| | **Basic Math** | add, sub, mul, div, power, abs, exp, log, sqrt | | **Trigonometric** | sin, cos, tan | | **Statistics** | mean, median, std, var, min, max, argmin, argmax, percentile | | **Linear Algebra** | dot, matmul, inv, det, eig, solve, svd | | **Matrix Operations** | create, zeros, ones, full, arange, linspace | | **Array Manipulation** | reshape, flatten, concatenate, transpose, stack | 3. sympy_mcp - SymPy Integration | Category | Operations | |----------|------------| | **Algebra** | simplify, expand, factor, collect | | **Calculus** | diff, integrate, limit, series | | **Equations** | solve, solveset, linsolve, nonlinsolve | | **Matrix Operations** | create, det, inv, rref, eigenvals | Setup Requirements - Python 3.12 or higher (To install Python3.12 follow Python Download) - uv (To install uv follow uv Installation) Clone the repository Visual Studio Code, Windsurf You can find the mcp.json file in the MCP: Open User Configuration or MCP: Open Workspace Configuration Add the following to your mcp.json: Claude (Anthropic) If you're using Claude or the Anthropic MCP client, add this working MCP configuration to your mcp.json (update the directory path to your local clone): Gemini CLI - Open your Gemini settings JSON located in ~/.gemini/settings.json where ~ is your home directory. - Add the following to your settings.json: