High-performance Python-based Model Context Protocol server offering efficient memory management, robust infrastructure tracking, SQLite persistent storage, and seamless Claude Desktop integration.
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A high-performance Python-based Model Context Protocol (MCP) server implementation optimized for Claude Desktop integration. This server provides efficient memory management and robust infrastructure component tracking capabilities.
[!CAUTION] This project has been archived due to faulty project specifications and AI direction that led to endless looping behavior.
This MCP server implementation focuses on:
MCP Resources
MCP Tools
Core Components
.
├── src/
│ ├── resources/ # MCP resource implementations
│ ├── tools/ # MCP tool implementations
│ ├── db/ # Database management
│ ├── utils/ # Utility functions
│ └── server.py # Main server implementation
├── tests/
│ ├── resources/ # Resource tests
│ ├── tools/ # Tool tests
│ └── integration/ # Integration tests
├── docs/ # Documentation
├── migrations/ # Database migrations
└── requirements/ # Project dependencies
See our Environment Setup Guide for detailed installation instructions.
Key steps:
pip install -r requirements.txt
export DATABASE_URL=sqlite:///path/to/db.db
alembic upgrade head
uvx run python -m src.main
Start the server:
uvx run python -m src.main
Configure Claude Desktop:
http://localhost:8000
Verify connection:
curl http://localhost:8000/health
Install development dependencies:
pip install -r requirements-dev.txt
Set up pre-commit hooks:
pre-commit install
Run tests:
pytest
Check code quality:
flake8 mypy .
This project is licensed under the MIT License - see the LICENSE file for details.
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