Rember MCP
Enables creating AI-generated flashcards from chats and PDFs using the Model Context Protocol to enhance spaced repetition study and memory retention.
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Your Rember API key, which can be found in your Settings page (https://rember.com/settings/mcp-api). The API key should follow the format 'rember_' followed by 32 random characters.
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
Connect Claude conversations with Anki via Model Context Protocol to manage spaced repetition by retrieving due flashcards, submitting review ratings, and customizing deck queries for efficient study sessions.
6 toolsAdded May 30, 2025
Provides persistent memory using a local knowledge graph with versioned entities, relations, and observations to enable context retention and dynamic information management across chats via the Model Context Protocol.
Added May 30, 2025
Provides persistent memory via a local knowledge graph for Model Context Protocol, enabling entity management, relationship mapping, observation tracking, and error lesson learning to enhance user context retention and adaptive interactions across chats.
13 toolsAdded May 29, 2025
Enables AI assistants to seamlessly access, store, search, and manage persistent memories across episodic, semantic, and procedural types using the Model Context Protocol integrated with Mem0.ai’s memory system.
Added May 30, 2025
Enables natural language interaction with Neo4j databases and Aura cloud services using the Model Context Protocol, facilitating Cypher query generation, knowledge graph memory management, and cloud instance administration through AI assistants.
Added May 30, 2025