Memory MCP Server
by shadowcz007
Memory MCP Server is a knowledge graph management server based on MCP Servers - memory. It supports various startup methods and provides complete knowledge graph management functions.
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What is Memory MCP Server?
Memory MCP Server is a server for managing knowledge graphs, adapted from the MCP Servers - memory project. It provides functionalities for creating, deleting, searching, and managing entities and relationships within a knowledge graph. It also supports generating short stories based on the knowledge graph's context.
How to use Memory MCP Server?
The server can be started in three ways: interactively, via command-line arguments, or using a JSON configuration file. Configuration options include specifying the port and the path to the memory storage file. API endpoints are provided for entity, relation, observation, and graph operations.
Key features of Memory MCP Server
Supports interactive, command-line, and JSON configuration startup methods
Generates short stories based on knowledge graph context
Complete knowledge graph management functions
Supports MCP protocol: tools, resource, sampling
Automatic data persistence
Flexible configuration options
Use cases of Memory MCP Server
Managing and querying knowledge graphs
Generating content based on knowledge graph data
Building applications that leverage knowledge graph information
Integrating with other systems using the MCP protocol
FAQ from Memory MCP Server
What is the default port?
What is the default port?
The default port is 8080.
Where is the data stored by default?
Where is the data stored by default?
The data is stored in memory.json in the program's directory.
How do I specify a different memory file path?
How do I specify a different memory file path?
You can specify the path using command-line arguments or a JSON configuration file.
What kind of data persistence is used?
What kind of data persistence is used?
Data is stored in JSON line format.
Where can I find more information?
Where can I find more information?
Check the GitHub repository and the usage tutorial link provided in the README.