Evangstav Python Memory MCP Server
E

Evangstav Python Memory MCP Server

A service implementing the Model Context Protocol (MCP) for managing Claude's memory and knowledge graph, supporting local development and testing.
2.5 points
8.6K

What is the Memory MCP Server?

The Memory MCP Server is a backend service specifically designed for Claude, used to efficiently manage and store Claude's memory data and knowledge graph. It adopts the MCP protocol standard, enabling Claude to remember conversation histories, learn new knowledge, and build a network of related concepts.

How to use the Memory MCP Server?

After installation, you can start the service with a simple command, and Claude will automatically connect and use its memory function. Developers can also directly manage knowledge graph data through the API.

Use cases

It is suitable for AI conversation scenarios that require long - term memory, complex knowledge management systems, and AI applications that need continuous learning. It is particularly suitable for scenarios such as academic research, customer service systems, and personalized assistants.

Main features

Knowledge graph management
Provides complete functions for creating, querying, and associating knowledge nodes, supporting the construction of complex concept networks
Memory persistence
Stores Claude's memory in the SQLite database for a long time, supporting cross - session memory
Batch operation optimization
Performs performance optimization for large - scale knowledge graph operations, supporting efficient batch processing
Seamless integration
Provides a standard MCP protocol interface for easy integration with the Claude desktop version
Advantages
Lightweight design with low resource consumption
Simple deployment based on SQLite without complex database configuration
Complete knowledge graph management functions
Open - source and easy to expand
Limitations
Currently only supports the SQLite database
Performance may be limited for large - scale knowledge graphs
Requires a Python environment to run

How to use

Install the service
Use the uv tool to install the Memory MCP Server
Configure environment variables
Set necessary environment variables such as DATABASE_URL
Start the service
Run the service command
Integrate into Claude
Modify the Claude configuration to connect to the MCP server

Usage examples

Academic research assistant
Claude can remember the user's research interests and related papers and build a subject knowledge graph
Personalized customer service
Remember the customer's historical questions and preferences to provide personalized services

Frequently Asked Questions

What kind of system environment is required?
How to back up memory data?
How many memory records can it support?
Can it be integrated with other AI systems?

Related resources

GitHub repository
Project source code and the latest version
MCP protocol documentation
Official documentation of the Model Context Protocol
uv tool guide
Documentation for the Python virtual environment and package management tool

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "memory": {
      "command": "uvx",
      "args": ["memory-mcp-server"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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