What is the Modelcontextprotocol Servers Memory?

Modelcontextprotocol Servers Memory is a native MCP server that gives AI agents direct access to developer tools functionality. It runs via npm and has 0 GitHub stars.

How do I install the Modelcontextprotocol Servers Memory?

Run npx -y modelcontextprotocol-servers-memory in your terminal, or add the MCP config to your claude_desktop_config.json. No API key is required.

What runtime does Modelcontextprotocol Servers Memory use?

It runs on npm. The install command is: npx -y modelcontextprotocol-servers-memory

Is the Modelcontextprotocol Servers Memory actively maintained?

The server has a quality score of 56/99 and is currently a community-maintained project. Recent commits indicate active maintenance.

Developer ToolsnpmNo AuthCommunity

Active

Modelcontextprotocol Servers Memory

0 starsScore: 56

modelcontextprotocol-servers-memory — MCP server integration.

Quick Answer

1. Modelcontextprotocol Servers Memory gives AI agents developer tools capabilities with 0 GitHub stars and a quality score of 56/99.
2. Install: Run npx -y modelcontextprotocol-servers-memory or add the config to your MCP client.
3. Runtime: npm — no authentication required.
4. Health: Actively maintained — last checked 7/1/2026.

Overview

Category: Developer Tools

Runtime: npm

Install: npx -y modelcontextprotocol-servers-memory

Auth: No auth required

Source: community

Stars: 0

Setup time: ~30 sec

What You Can Build

With the Modelcontextprotocol Servers Memory MCP server, your AI assistant can:

Access developer tools functionality through natural language
Use the server immediately with no API key setup
Combine with other MCP servers for cross-tool automation workflows
Run with npm for reliable, consistent deployments

Health Status

Active

Last commit: 6/30/2026

Checked: 7/1/2026

Page updated: June 13, 2026

MCP Server Configuration

Add this to your claude_desktop_config.json

{
  "mcpServers": {
    "modelcontextprotocol-servers-memory": {
      "command": "npx",
      "args": ["-y","modelcontextprotocol-servers-memory"],
      "env": {}
    }
  }
}