Provides a persistent quantitative workspace for mathematical operations, data visualization, and cross-session state via the Model Context Protocol.
The Math Learning tool is an educational Model Context Protocol (MCP) server designed to showcase enterprise-grade development patterns. It offers a persistent quantitative workspace, a unique capability that stores calculations and data across different sessions, outperforming many standard LLM capabilities. This server is ideal for individuals learning MCP fundamentals, demonstrating professional development patterns, and serving as a robust foundation for advanced mathematical and AI agent workflows. Built with FastMCP 2.0 and the official Python SDK, it integrates seamlessly with various MCP clients.