Memory MCP Server
What is Memory MCP Server?
what is Memory MCP Server? Memory MCP Server is a Python implementation of an MCP server designed to process and save memory in the form of a knowledge graph, enabling AI systems to store and recall information across sessions. how to use Memory MCP Server? To use the Memory MCP Server, install it via pip or uv, run the server, and configure it for your MCP clients by adding the necessary settings to your configuration files. key features of Memory MCP Server? Create and manage entities with structured information Establish typed relations between entities Add observations to existing entities Delete entities, relations, and observations Search nodes in the knowledge graph Retrieve specific nodes by name use cases of Memory MCP Server? Maintaining a persistent knowledge graph for AI applications Storing and retrieving structured data for machine learning models Facilitating complex queries and data management in AI systems FAQ from Memory MCP Server? What programming language is Memory MCP Server written in? Memory MCP Server is written in Python. Is there a license for using Memory MCP Server? Yes, it is licensed under the MIT License, allowing free use, modification, and distribution. How can I customize the memory storage path? You can customize the memory storage path using the MEMORY_FILE_PATH environment variable.
As an MCP (Model Context Protocol) server, Memory MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Memory MCP Server
To use the Memory MCP Server, install it via pip or uv, run the server, and configure it for your MCP clients by adding the necessary settings to your configuration files. key features of Memory MCP Server? Create and manage entities with structured information Establish typed relations between entities Add observations to existing entities Delete entities, relations, and observations Search nodes in the knowledge graph Retrieve specific nodes by name use cases of Memory MCP Server? Maintaining a persistent knowledge graph for AI applications Storing and retrieving structured data for machine learning models Facilitating complex queries and data management in AI systems FAQ from Memory MCP Server? What programming language is Memory MCP Server written in? Memory MCP Server is written in Python. Is there a license for using Memory MCP Server? Yes, it is licensed under the MIT License, allowing free use, modification, and distribution. How can I customize the memory storage path? You can customize the memory storage path using the MEMORY_FILE_PATH environment variable.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Memory MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Memory MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.