Math Coprocessor
Enables Large Language Models (LLMs) to perform accurate mathematical computations by acting as an external coprocessor.
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This application serves as a demonstration of the Model Context Protocol (MCP) server acting as a reliable mathematical coprocessor for LLMs. It allows large language models, such as Claude or Cursor AI, to delegate complex or precise calculations to a specialized Node.js and TypeScript backend that leverages the `mathjs` library for accurate evaluation. This approach mitigates the common challenge of LLMs struggling with exact arithmetic, enabling them to focus on understanding user intent and orchestrating tasks, while the MCP server handles the computational heavy lifting. The project also includes a simple React-based frontend to showcase its utility within an interactive math quiz context, illustrating the 'coprocessor' pattern in action.
Características Principales
- Supports a wide range of operations including basic arithmetic, exponents, and common functions (sqrt, sin, cos, log)
- Integrates with LLMs (e.g., Claude, Cursor) as an external tool
- 0 GitHub stars
- Demonstrates the 'coprocessor' pattern for LLM enhancement
- Accurate mathematical expression evaluation using mathjs
- Modular architecture separating frontend quiz and MCP server
Casos de Uso
- Developing interactive and computationally accurate math quiz applications
- Offloading complex numerical processing from AI models to specialized services
- Augmenting LLMs with precise mathematical calculation capabilities
