Optimized Memory MCP Server v2

Name: Optimized Memory MCP Server v2
Author: AgentWong

@AgentWong

リポジトリ

Optimized Memory MCP Server v2 について

This is a personal project to test Claude AI's ability to self-write an MCP Server code for its own use.

#mcp #server #claude-ai

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

公開者

AgentWong

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "optimized-memory-mcp-serverv2": {
      "command": "uvx",
      "args": [
        "run",
        "python",
        "-m",
        "src.main"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Optimized Memory MCP Server v2?

Optimized Memory MCP Server v2 is a high-performance Python-based Model Context Protocol (MCP) server implementation optimized for Claude Desktop integration. It provides efficient memory management and robust infrastructure component tracking capabilities, using SQLite for persistent storage with connection pooling.

How to use Optimized Memory MCP Server v2?

Clone the repository, set up a Python environment (Python 3.13.1+), install dependencies with pip install -r requirements.txt, configure the database URL via the DATABASE_URL environment variable, run database migrations with alembic upgrade head, then start the server with uvx run python -m src.main. In Claude Desktop, set the MCP server URL to http://localhost:8000 and enable the MCP protocol in settings.

Key features of Optimized Memory MCP Server v2

MCP resources for entity, provider, and Ansible collection management
MCP tools for entity creation, observation, and provider registration
Full-text search across tracked infrastructure components
SQLite database with connection pooling and automatic cleanup
Comprehensive error handling and extensive logging
Full Claude Desktop compatibility via FastMCP

Use cases of Optimized Memory MCP Server v2

Tracking infrastructure components and their relationships in a centralized store
Managing Ansible collections and provider resources through MCP tools
Performing full-text search on entities, observations, and metadata
Integrating with Claude Desktop for AI-assisted infrastructure analysis

FAQ from Optimized Memory MCP Server v2

What are the runtime requirements?

Python 3.13.1 or higher, SQLite 3.x, and the uvx server. Dependencies are listed in requirements.txt.

How do I start the server?

Run uvx run python -m src.main after installing dependencies, configuring the database URL, and applying migrations with alembic upgrade head.

How do I connect Claude Desktop to this server?

Set the MCP server URL in Claude Desktop to http://localhost:8000 and enable the MCP protocol in Claude settings. Verify the connection with curl http://localhost:8000/health.

How is data stored?

Data is stored persistently in a SQLite database. The database URL is configured via the DATABASE_URL environment variable (e.g., sqlite:///path/to/db.db). Migrations are managed with Alembic.

Is this project still maintained?

No. The README indicates the project has been archived due to faulty project specifications and AI direction that led to endless looping behavior.

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