This MCP server provides interactive memory capabilities for AI assistants through integration with Memory Box, a semantic memory storage and retrieval system. Developed by Amotivv, it offers tools for saving, searching, and formatting memories using vector embeddings and semantic search. The server is designed for use cases requiring persistent, context-aware AI interactions, such as personalized assistants or knowledge management systems.
Save a memory to Memory Box with proper formatting. Parameters: text (required), bucket_id (optional, default: 'General'), format (optional, default: true), type (optional, default: 'TECHNICAL'), source_type (optional, default: 'llm_plugin'), reference_data (optional)
Search for memories using semantic search. Parameters: query (required), debug (optional, default: false)
Retrieve all memories without any parameters.
Get memories from a specific bucket. Parameters: bucket_id (required)
Format a text according to the memory system prompt without saving. Parameters: text (required), type (optional, default: 'TECHNICAL')
Find semantically similar memories to a specific memory. Parameters: memory_id (required), min_similarity (optional, default: 0.7)
Check the processing status of a memory. Parameters: memory_id (required)
Retrieve user usage statistics and plan information without any parameters.
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