Memory MCP Server
by MCP-Mirror
An implementation of the Model Context Protocol (MCP) server for managing Claude's memory and knowledge graph. It allows Claude to store and retrieve information from a knowledge graph.
Last updated: N/A
What is Memory MCP Server?
This is an MCP (Model Context Protocol) server designed to manage Claude's memory and knowledge graph. It provides a way for Claude to store and retrieve information, enhancing its ability to retain and utilize knowledge.
How to use Memory MCP Server?
- Install the server using
uvx memory-mcp-serveroruv pip install git+https://github.com/estav/python-memory-mcp-server.git. 2. Configure the server by setting theDATABASE_URLenvironment variable. 3. Integrate the server with Claude Desktop by adding the provided JSON configuration to yourclaude_desktop_config.json. 4. Run the server usinguvx memory-mcp-server.
Key features of Memory MCP Server
Knowledge graph management
Integration with Claude Desktop
SQLite database storage
Optimized knowledge graph operations
Unit testing
Use cases of Memory MCP Server
Enhancing Claude's memory and knowledge retention
Providing Claude with access to structured information
Improving Claude's ability to answer questions based on stored knowledge
Building custom knowledge bases for Claude
Enabling Claude to learn and adapt over time
FAQ from Memory MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol that allows language models like Claude to interact with external services, such as knowledge graphs.
What is the DATABASE_URL?
What is the DATABASE_URL?
The DATABASE_URL is an environment variable that specifies the location of the SQLite database used to store the knowledge graph. It should be a valid SQLite connection string.
How do I integrate this with Claude Desktop?
How do I integrate this with Claude Desktop?
You need to add the provided JSON configuration to your claude_desktop_config.json file. This tells Claude Desktop how to connect to and use the MCP server.
What kind of data can I store in the knowledge graph?
What kind of data can I store in the knowledge graph?
You can store any kind of data that can be represented in a knowledge graph, such as entities, relationships, and attributes. The specific data model will depend on your use case.
How do I contribute to the project?
How do I contribute to the project?
You can contribute by submitting pull requests with bug fixes, new features, or improvements to the documentation. Please follow the project's coding style and testing guidelines.