Memory MCP Server is a lightweight, developer-friendly solution designed to help Claude retain memory across multiple chat sessions. Rather than restarting from scratch each time you open a new window, this server allows persistent knowledge recall through a structured memory graph. It works by storing and updating a JSON-based user memory database that can be referenced anytime. Ideal for developers integrating context-awareness into AI conversations.

FEATURES

• Enables persistent memory for Claude across different conversations
• Uses Node.js and npx to run a local or custom memory server
• Fully configurable via JSON or environment variables
• Supports memory storage customization via file path variables
• Works seamlessly with Claude Desktop configuration

FAQs about Memory MCP Server

How does Memory MCP Server improve Claude's user experience?

Memory MCP Server solves a common frustration users face with Claude: losing memory between chats. By implementing a persistent memory layer, users can maintain continuity in conversations without re-explaining previous inputs. This is especially useful for developers working on long-term AI-assisted tasks. It allows Claude to reference and build upon prior knowledge more naturally.

Is Memory MCP Server free to use?

Yes, Memory MCP Server is currently offered as a "Free for Life" tool, meaning there are no hidden fees or limitations on usage. You can download and integrate it into your setup without a subscription. Pricing packages are subject to change. Always verify pricing information on their official site.

What do I need to run Memory MCP Server?

To use Memory MCP Server, you'll need Node.js installed on your machine, as it operates through npx. Configuration requires editing the claude_desktop_config.json file, pointing to the appropriate MCP server command and optional memory file paths. This setup is ideal for developers who are comfortable modifying local configuration files.

How does Memory MCP Server compare to other memory tools for AI?

Unlike cloud-based memory services that may require API keys or third-party storage, Memory MCP Server keeps things local and customizable. It’s open, transparent, and doesn’t rely on external calls for storing user data. Compared to browser extensions or cloud sync tools, this solution is more privacy-conscious and suitable for advanced customization.

Can I customize how and where memory is stored?

Yes, the tool allows full control over memory file storage using environment variables. You can specify a custom JSON file path (MEMORY_FILE_PATH) to suit your project needs. This flexibility makes it ideal for workflows that require unique or portable memory handling.