Metadata-Version: 2.4
Name: scicomp-mcp-common
Version: 0.1.2
Summary: Shared infrastructure for MCP servers: GPU management, async tasks, config, serialization
Project-URL: Homepage, https://github.com/andylbrummer/math-mcp
Project-URL: Documentation, https://andylbrummer.github.io/math-mcp/
Project-URL: Repository, https://github.com/andylbrummer/math-mcp
Author-email: Andy Brummer <andy@example.com>
License-Expression: MIT
Keywords: async,cuda,gpu,mcp,model-context-protocol
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.11
Requires-Dist: kdl-py>=1.1.0
Requires-Dist: mcp>=1.0.0
Requires-Dist: numpy>=1.26.0
Requires-Dist: pydantic>=2.5.0
Provides-Extra: gpu
Requires-Dist: cupy-cuda12x>=13.0.0; extra == 'gpu'
Description-Content-Type: text/markdown

# scicomp-mcp-common

Common utilities and base classes for the Math-Physics-ML MCP system.

## Overview

This package provides shared functionality used across all MCP servers in the Math-Physics-ML system, including:

- MCP server base classes and utilities
- Common error handling patterns
- Shared type definitions and protocols
- Utility functions for tool registration and management

## Installation

```bash
pip install scicomp-mcp-common
```

## Usage

This package is primarily used as a dependency by other MCP servers in the system. Direct usage is typically not needed for end users.

```python
from mcp_common import MCPServer, Tool

# Example: Used by other MCP servers
server = MCPServer()
```

## Part of Math-Physics-ML MCP System

This package is part of a larger system that includes:
- [scicomp-compute-core](https://pypi.org/project/scicomp-compute-core/) - GPU-accelerated computation core
- [scicomp-math-mcp](https://pypi.org/project/scicomp-math-mcp/) - Symbolic math and numerical computing
- [scicomp-quantum-mcp](https://pypi.org/project/scicomp-quantum-mcp/) - Quantum mechanics simulations
- [scicomp-molecular-mcp](https://pypi.org/project/scicomp-molecular-mcp/) - Molecular dynamics
- [scicomp-neural-mcp](https://pypi.org/project/scicomp-neural-mcp/) - Neural network training

See the [full documentation](https://andylbrummer.github.io/math-mcp/) for more details.
