Memory MCP Server is an MCP (Model Context Protocol) server implementation. It is designed to handle Claude's memory and knowledge graph.
To use it, first install the package via uv. Then run the server using the command uvx memory-mcp-server. Required environment variables must be set for proper configuration.
Key features include: MCP implementation for memory management, integration support for Claude Desktop, and a built-in testing framework using pytest to ensure quality.
Use cases involve managing and storing knowledge graphs for AI applications, integrating memory functions with desktop applications such as Claude, and running tests to verify the reliability of memory operations.
FAQ: The Model Context Protocol (MCP) is a protocol for managing memory and knowledge in AI systems. Installation can be done via uvx memory-mcp-server or from the GitHub repository. Yes, a testing framework is included—the project uses pytest and comes with various test cases.