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Optimized Memory MCP Server V2

Optimized Memory MCP Server V2

Public
AgentWong/optimized-memory-mcp-serverv2

High-performance Python-based Model Context Protocol server offering efficient memory management, robust infrastructure tracking, SQLite persistent storage, and seamless Claude Desktop integration.

python
0 tools
May 29, 2025
Updated Jun 4, 2025

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[!CAUTION] This project has been archived due to faulty project specifications and AI direction that led to endless looping behavior.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

.
├── 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

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
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