This MCP server implementation provides a knowledge graph-based memory system for AI assistants. Developed by BRO3886, it offers tools for creating, managing, and querying a graph structure of entities, relations, and observations. The server supports features like custom memory file paths, timestamping, and advanced search capabilities. It's designed for use cases requiring persistent, structured memory for AI interactions, such as maintaining context in long-term conversations or building knowledge bases from user interactions.
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Retrieve the current timestamp.
Specify the memory file path for saving project-specific memory data.
Create new entities in the memory graph, which can represent people, organizations, or significant events.
Establish relationships between entities in the memory graph.
Store facts or observations about entities in the memory graph.
Remove existing entities from the memory graph.
Remove observations from the memory graph.
Remove relationships between entities in the memory graph.
Retrieve the current state of the memory graph.
Search for specific nodes (entities) within the memory graph.
Access and view the details of specific nodes in the memory graph.