symbolica-mcp
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Symbolica-MCP is a Model Context Protocol server designed for scientific computing applications, enabling AI to handle tasks such as symbolic math, data analysis, and visualization. It supports key libraries for scientific and machine learning operations while ensuring cross-platform compatibility.
Overview
A scientific computing Model Context Protocol (MCP) server allows AI to perform symbolic computing, conduct calculations, analyze data, and generate visualizations. It is beneficial for scientific and engineering applications, including quantum computing, in a containerized environment.
Features
- Scientific computing with libraries such as NumPy, SciPy, and SymPy.
- Support for symbolic mathematics, linear algebra, and matrix operations.
- Quantum computing analysis capabilities.
- Data visualization using Matplotlib and Seaborn.
- Machine learning operations with scikit-learn.
- Cross-platform and processor support for Intel/AMD and ARM.
Quick Start
Use the Docker image from Docker Hub to run the server, supporting integration with Claude for Desktop.