Zettelkasten knowledge management MCP server for Claude Desktop with knowledge graphs, imoort/export tools, and Claude Skills integration"
git clone https://github.com/sandraschi/advanced-memory-mcp.gitZettelkasten knowledge management MCP server for Claude Desktop with knowledge graphs, imoort/export tools, and Claude Skills integration"
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/sandraschi/advanced-memory-mcpCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a new Zettelkasten note in my advanced-memory-mcp server about [TOPIC]. Ensure it's connected to at least 3 related notes in my knowledge graph. Include a summary, key points, and any relevant context from my existing notes. Also, suggest 2 follow-up notes that should be created based on this topic.
I've created a new Zettelkasten note titled 'Quantum Computing Applications in Drug Discovery' in your advanced-memory-mcp server. Here's a summary of the note and its connections: Summary: This note explores how quantum computing can accelerate drug discovery by simulating molecular interactions at quantum levels, potentially reducing drug development timelines from years to months. Key Points: 1. Quantum computers can model molecular structures with far greater accuracy than classical computers 2. Potential to identify new drug candidates by simulating protein folding and molecular docking 3. Current limitations include qubit stability and error correction challenges Connected Notes: 1. 'Quantum Computing Basics' - Provides foundational knowledge about quantum computing principles 2. 'Molecular Simulation Techniques' - Discusses classical methods for molecular modeling 3. 'Drug Discovery Process' - Outlines the traditional pharmaceutical development pipeline Suggested Follow-up Notes: 1. 'Quantum Machine Learning for Drug Discovery' - Explore how quantum algorithms could enhance machine learning in pharmaceutical research 2. 'Current Quantum Computing Hardware' - Investigate the state of quantum hardware development and its implications for drug discovery applications
AI media measurement
modern communication for focus
AI assistant built for thoughtful, nuanced conversation
IronCalc is a spreadsheet engine and ecosystem
Enterprise workflow automation and service management platform
Automate your spreadsheet tasks with AI power