SymPy
Enables language models to perform symbolic mathematics and computer algebra through tool-calling.
About
SymPy enhances LLMs' mathematical capabilities by providing a Model Context Protocol server that exposes SymPy's core functionalities. This allows LLMs to manipulate mathematical expressions and equations accurately, overcoming their limitations in symbolic manipulation. The server offers tools for algebraic equation solving, integration, differentiation, vector and tensor calculus, and differential equations, facilitating complex mathematical tasks within AI workflows.
Key Features
- Integration and differentiation
- Supports general relativity calculations via EinsteinPy
- 5 GitHub stars
- Vector and tensor calculus
- Algebraic equation solving
- Ordinary and partial differential equation solving
Use Cases
- Performing general relativity calculations
- Simplifying and manipulating complex mathematical expressions
- Solving differential equations in natural language
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