math-mcp-learning-server and sympy-mcp
These are complements: the educational server provides practical computation and visualization across multiple domains, while the symbolic manipulation tool offers deeper algebraic reasoning that could enhance the learning server's mathematical capabilities when integrated together.
About math-mcp-learning-server
clouatre-labs/math-mcp-learning-server
Educational MCP server with math operations, matrix algebra, data visualization, and persistent workspace using FastMCP 3.0
Implements 17 specialized tools spanning statistics, financial calculations, linear algebra, and chart generation, with sandboxed expression evaluation using restricted `eval()` and whitelist validation. Supports both cloud deployment via HTTP transport and local installation through uvx, with optional scientific (NumPy/SciPy) and plotting (Matplotlib) dependencies. Exposes resources for workspace state, calculation history, and mathematical constants, plus tutoring prompts for structured learning workflows.
About sympy-mcp
sdiehl/sympy-mcp
A MCP server for symbolic manipulation of mathematical expressions
This project helps scientists, engineers, and researchers perform complex symbolic mathematical calculations using natural language. It takes your natural language questions about algebra, calculus, or general relativity problems and provides precise, computed mathematical solutions or transformations. Anyone working with advanced mathematics who wants to offload the symbolic computation to an AI assistant would find this useful.
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