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.

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