Execute Python/SymPy code to perform symbolic mathematics operations including algebra, calculus, and equation solving within a secure sandbox environment.
MIT
152,064 tools. Last updated 2026-05-28 12:49
"SymPy" matching MCP tools:
- Parse a string into a symbolic expression for advanced algebraic computations with SymPy.MIT
- Define and store multiple symbolic variables with specific assumptions efficiently. Ideal for managing complex mathematical variables in symbolic algebra tasks.Apache 2.0
- Clear all stored variables, functions, expressions, and reset the state of the Symbolic Algebra MCP Server for the next computation, ensuring a clean workspace.Apache 2.0
- Evaluate mathematical expressions from simple arithmetic to trigonometry and logarithms, with variable substitution for dynamic calculations.MIT
- Parse and store symbolic expressions with SymPy, assigning them to temporary or user-defined variables. Supports equations and matrices while applying canonicalization rules by default.Apache 2.0
Matching MCP Servers
- AlicenseCqualityBmaintenanceAn MCP server that provides access to SymPy's symbolic mathematics library for advanced algebraic computations. It enables users to perform complex tasks such as symbolic simplification, calculus, equation solving, matrix operations, and number theory.Last updated100MIT
- AlicenseAqualityCmaintenanceA secure mathematical computation sandbox that enables LLMs to perform symbolic math operations like algebra, calculus, and equation solving via SymPy. It features low-latency execution through pre-warmed process pools and provides standardized JSON outputs for reliable agent integration.Last updated12MIT
- Compute mathematical expressions using symbolic computation, including arithmetic, algebra, calculus, equation solving, and matrix operations.MIT
- Solve ordinary differential equations (ODEs) using SymPy’s dsolve function. Input an expression and function name to compute and return the solution in LaTeX format. Supports optional solving hints for specific methods.Apache 2.0
- Solve systems of nonlinear equations symbolically using SymPy. Input expression keys and variable names to generate LaTeX-formatted solutions across specified domains like complex or real numbers.Apache 2.0
- Compute the curl of a vector field in a specified coordinate system using SymPy. Input a vector field key to generate a curl expression for analyzing rotational behavior in vector calculus.Apache 2.0
- Compute limits and series expansions of mathematical expressions with support for one-sided limits, infinite limits, and Taylor/Maclaurin series expansions. Specify expression, variable, point, operation, series order, and direction.MIT
- Simplify quantities with units by converting to standard forms using SymPy. Ideal for physics and engineering expressions involving SI units, mixed units, and constants like speed of light.Apache 2.0
- Generate symbolic or numeric matrices using a list of lists. Define matrix elements as numbers or expressions, optionally assign a variable name, and store the result for symbolic algebra operations.Apache 2.0
- Defines and stores a SymPy function variable for use in symbolic mathematics. Accepts a function name to create a Function object, enabling its application in differential equations and mathematical expressions.Apache 2.0
- Define and store a SymPy variable with specific mathematical assumptions, enabling precise symbolic algebra computations in the Symbolic Algebra MCP Server.Apache 2.0
- Define an unevaluated integral by providing a string expression and the variable of integration.MIT
- Find the next prime number greater than a given integer. Solves prime sequencing needs in algebraic computations.MIT
- Simplify mathematical expressions algebraically. Provide a SymPy-compatible expression to receive its simplified form.
- Return the largest prime number less than a given integer greater than 2.MIT
- Generate the set of natural numbers including zero for use in symbolic algebra and number theory computations.MIT