Mathematics
Empower AI assistants with secure, enterprise-grade mathematical calculations through AST-based evaluation and a comprehensive function library.
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Mathematics transforms AI assistants into robust computation engines, enabling them to perform complex mathematical calculations within a secure, sandboxed environment. Leveraging Python's Abstract Syntax Tree (AST) evaluation, it eliminates code injection vulnerabilities and ensures operations run in a controlled setting with strict whitelisting. The server offers a comprehensive suite of 52 built-in functions, supports natural Unicode operators, and provides full access to Python's mathematical capabilities, all built with a production-ready architecture featuring type-safe design, clean code, and extensive testing.
Características Principales
- AST-Based Secure Evaluation for preventing code injection
- 52 Built-In Mathematical Functions including trigonometric, logarithmic, and special functions
- Unicode Operator Support for natural mathematical notation (e.g., ×, ÷, ^)
- Production-Ready Architecture with type-safe design and comprehensive unit testing
- Five dedicated MCP Tools for single/batch calculations, history management, and function discovery
- 0 GitHub stars
Casos de Uso
- Enabling AI assistants to securely perform complex scientific and engineering calculations
- Providing a sandboxed environment for robust and verifiable mathematical computations within AI applications
- Integrating advanced mathematical capabilities into AI workflows for data analysis and modeling