Merge pull request #13699 from agmonetti/add-mathmethods-mcp

Add agmonetti/mathmethods-mcp (numerical methods) 🤖🤖🤖

README.md

@@ -1784,6 +1784,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
 
 - [inity13/decisionmatrix-mcp](https://github.com/inity13/decisionmatrix-mcp) [![inity13/decisionmatrix-mcp MCP server](https://glama.ai/mcp/servers/inity13/decisionmatrix-mcp/badges/score.svg)](https://glama.ai/mcp/servers/inity13/decisionmatrix-mcp) 📇 ☁️ - Deterministic multi-criteria decision analysis (MCDA): score, rank & explain options against weighted criteria with weighted-sum, weighted-product, or TOPSIS, plus sensitivity analysis (which weights would flip the winner). Exact decimals, stateless. Free hosted endpoint or self-host (MIT). `https://decisionmatrix-mcp.pages.dev/mcp`
 - [abhiphile/fermat-mcp](https://github.com/abhiphile/fermat-mcp) 🐍 🏠 🍎 🪟 🐧 - The ultimate math engine unifying SymPy, NumPy & Matplotlib in one powerful server. Perfect for developers & researchers needing symbolic algebra, numerical computing, and data visualization.
+- [agmonetti/mathmethods-mcp](https://github.com/agmonetti/mathmethods-mcp) [![agmonetti/mathmethods-mcp MCP server](https://glama.ai/mcp/servers/agmonetti/mathmethods-mcp/badges/score.svg)](https://glama.ai/mcp/servers/agmonetti/mathmethods-mcp) 🐍 🏠 🍎 🪟 🐧 - Numerical methods MCP server for root finding, numerical integration, differential equations (RK4), and Lagrange interpolation.
 - [Archerkattri/mathlas](https://github.com/Archerkattri/mathlas) [![Archerkattri/mathlas MCP server](https://glama.ai/mcp/servers/Archerkattri/mathlas/badges/score.svg)](https://glama.ai/mcp/servers/Archerkattri/mathlas) 🐍 🏠 - Airtight math for agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.
 - [arrismo/kaggle-mcp](https://github.com/arrismo/kaggle-mcp) 🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets.
 - [aurelio-nakamura/dataloupe](https://github.com/aurelio-nakamura/dataloupe) [![aurelio-nakamura/dataloupe MCP server](https://glama.ai/mcp/servers/aurelio-nakamura/dataloupe/badges/score.svg)](https://glama.ai/mcp/servers/aurelio-nakamura/dataloupe) 📇 🏠 🍎 🪟 🐧 - Local, offline access to tabular data for AI assistants: list/describe/preview/query CSV/TSV/JSON/Parquet/Excel files, diff two datasets, and generate a self-contained interactive HTML explorer to open in any browser — nothing leaves your machine. Install via `npx -y github:aurelio-nakamura/dataloupe mcp`.