Search for entities, types, and observation content in a knowledge graph stored in Obsidian Memory MCP. Use a query to retrieve relevant nodes for enhanced knowledge graph navigation and analysis.
Locate nodes in a knowledge graph using a query to match entity names, types, or observation content. Facilitates efficient memory management and retrieval within the Memory MCP Server environment.
Locate nodes in the MemoryMesh knowledge graph by matching names, types, and metadata content against a specific search query for efficient data retrieval.
An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.
An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.
An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.