Optimized Memory MCP Server v2

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[!CAUTION] This project has been archived due to faulty project specifications and AI direction that led to endless looping behavior.

Overview

This MCP server implementation focuses on:

• Efficient memory management for large-scale infrastructure tracking
• Comprehensive resource and tool implementations following MCP patterns
• Full Claude Desktop compatibility
• SQLite-based persistent storage with connection pooling
• Robust error handling and resource cleanup

Features

• MCP Resources
  • Entity management (listing, retrieval, relationships)
  • Provider resource tracking
  • Ansible collection management
  • Version tracking
  • Full-text search capabilities
• MCP Tools
  • Entity creation and management
  • Observation tracking
  • Provider registration
  • Ansible module integration
  • Infrastructure analysis tools
• Core Components
  • FastMCP server implementation
  • SQLite database with connection pooling
  • Comprehensive error handling
  • Automatic resource cleanup
  • Extensive logging

Project Structure

Requirements

• Python 3.13.1 or higher
• SQLite 3.x
• uvx server

Quick Start

See our Environment Setup Guide for detailed installation instructions.

Key steps:

1. Clone and setup Python environment
2. Install dependencies: pip install -r requirements.txt
3. Configure database: export DATABASE_URL=sqlite:///path/to/db.db
4. Initialize database: alembic upgrade head
5. Start server: uvx run python -m src.main

Usage

1. Start the server:
   uvx run python -m src.main
2. Configure Claude Desktop:
   • Set MCP server URL to http://localhost:8000
   • Enable MCP protocol in Claude settings
3. Verify connection:
   curl http://localhost:8000/health

Development Setup

1. Install development dependencies:
   pip install -r requirements-dev.txt
2. Set up pre-commit hooks:
   pre-commit install
3. Run tests:
   pytest
4. Check code quality:
   flake8 mypy .

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes following our conventions
4. Run tests and linting
5. Submit a pull request

Documentation

• Environment Setup Guide - Installation and configuration
• MCP Usage Guide - Using MCP resources and tools
• API Documentation - API reference
• Configuration Guide - Server configuration
• Development Guide - Contributing guidelines
• Database Schema - Data model reference
• Troubleshooting Guide - Common issues and solutions

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Claude Desktop team for MCP protocol specifications
• Contributors to the FastMCP library
• SQLAlchemy team for database tooling