python-memory-mcp-server
The Memory MCP Server is designed to manage knowledge graphs by handling entities, relations, and observations with strict validation protocols. It supports a wide range of entity types and relation management, ensuring data consistency and offering robust search capabilities.
What types of entities can be managed by the Memory MCP Server?
The server supports various entity types including person, concept, project, document, tool, organization, location, and event.
How does the server ensure data consistency?
The server enforces strict validation rules for entity names, types, and observations, ensuring that all data adheres to predefined standards.
Can I search the memory using natural language queries?
Yes, the server supports natural language queries and provides weighted search functionality for more accurate results.
What happens if I try to create an entity that already exists?
The server will return an 'ALREADY_EXISTS' error, indicating that the entity cannot be created because it already exists in the graph.
Are circular dependencies allowed in relationships?
No, the server does not allow circular dependencies in relationships to maintain the integrity of the knowledge graph.