Memory MCP Server
Overview
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.
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