nocturne_memory vs everything

Side-by-side comparison to help you pick between these two MCP servers.

	nocturne_memory by Dataojitori	everything by modelcontextprotocol
Stars	★ 1,080	★ 85,748
30d uses	—	—
Score	55	77
Official	—	✓
Categories	AI / LLM ToolsKnowledge GraphDeveloper Tools	Developer ToolsAI / LLM ToolsOther
Language	Python	TypeScript
Last commit	this month	this month

nocturne_memory · Summary

A long-term memory server for MCP agents that enables persistent, cross-session identity and context.

everything · Summary

Official MCP test server exercising all protocol features for client builders.

nocturne_memory · Use cases

Enable AI agents to maintain consistent identity and context across multiple LLM platforms
Provide AI with long-term personal memory for better relationship-building with users
Allow AI to autonomously organize and retrieve complex information structures across sessions

everything · Use cases

Testing MCP client implementations against all protocol features
Learning MCP protocol capabilities through a reference server
Validating client compatibility with different transport methods

nocturne_memory · Install

Installation

Prerequisites

Python 3.10+
Node.js (for building the dashboard frontend)

Step 1: Clone & Install Dependencies

git clone https://github.com/Dataojitori/nocturne_memory.git
cd nocturne_memory
pip install -r backend/requirements.txt

Step 2: Connect to Your AI Client

Add to your AI client's MCP configuration (replace with your actual path):

{
  "mcpServers": {
    "nocturne_memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_server.py"]
    }
  }
}

For Claude Desktop

{
  "mcpServers": {
    "nocturne-memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_server.py"]
    }
  }
}

For Antigravity (Windows)

Due to CRLF/LF issues on Windows, use the wrapper:

{
  "mcpServers": {
    "nocturne_memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_wrapper.py"]
    }
  }
}

everything · Install

NPX (recommended)

{
  "mcpServers": {
    "everything": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

On Windows, use cmd /c:

{
  "mcpServers": {
    "everything": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

Docker

{
  "mcpServers": {
    "everything": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp/everything"]
    }
  }
}

Global install

npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everything

Comparison generated from public README + GitHub signals. Last updated automatically.