Graphthulhu

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Graphthulhu empowers AI assistants to fully interact with Logseq knowledge graphs by exposing the entire second brain through the Model Context Protocol (MCP). It overcomes the limitation of AI being blind to personal knowledge bases, allowing any MCP client to navigate pages, search blocks with context, analyze link structures, identify knowledge gaps, manage flashcards, and write new content. This transforms simple queries into an AI experience that deeply understands and leverages your interconnected knowledge graph.

Características Principales

• 12 GitHub stars
• Offers 27 specialized tools for navigating, searching, analyzing, and writing to Logseq graphs.
• Enables raw DataScript/Datalog queries for flexible data retrieval from the Logseq database.
• Includes advanced analysis tools to find connections, knowledge gaps, and topic clusters.
• Provides contextual full-text search across all blocks, including parent chains and siblings.
• Supports creating, updating, deleting, and moving blocks and pages within Logseq.

Casos de Uso

• Integrate AI assistants with Logseq for intelligent knowledge retrieval and synthesis.
• Automate content creation, organization, and linking within a Logseq second brain.
• Enable AI to analyze knowledge graph structures for insights, gap identification, and topic discovery.