Shared infrastructure for MCP servers: GPU management, async tasks, config, serialization
Project description
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
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.
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 - GPU-accelerated computation core
- scicomp-math-mcp - Symbolic math and numerical computing
- scicomp-quantum-mcp - Quantum mechanics simulations
- scicomp-molecular-mcp - Molecular dynamics
- scicomp-neural-mcp - Neural network training
See the full documentation for more details.
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