A Model Context Protocol server that enables LLMs to autonomously perform symbolic mathematics and computer algebra through SymPy's functionality for manipulating mathematical expressions and equations.
Provides a suite of deterministic math tools powered by SymPy to handle algebra, calculus, linear algebra, and statistics via the Model Context Protocol. It enables smaller language models to delegate complex computations to a verified symbolic backend for accurate and reliable results.
Provides a token-efficient exact math engine for AI agents, enabling computation of derivatives, integrals, equations, and optimized Python/NumPy code via a single MCP tool.
A universal mathematics MCP server that gives LLM clients full access to SageMath for symbolic calculus, number theory, linear algebra, and more, with persistent state across tool calls.
Enables deterministic verification for AI assistants by executing Python code that uses symbolic engines like SymPy and Z3 for math, logic, and code analysis.
Exposes the full SageMath computer algebra system to LLM clients through MCP tools for symbolic mathematics, solving, calculus, plotting, and number theory.
