Show HN: Graphthulhu – Knowledge Graph MCP Server for Logseq and Obsidian (github.com)

A new project, Graphthulhu, has been introduced as a Model Context Protocol (MCP) server that enables AI access to users’ knowledge graphs in Logseq and Obsidian, facilitating a deeper interaction with personal knowledge systems. Built in Go, Graphthulhu provides full read-write capabilities, allowing AI assistants to navigate, search, and analyze interconnected pages, blocks, and links stored within these platforms. This advancement means that AI can now better understand and leverage the structure of knowledge graphs to deliver more contextually relevant insights and facilitate decision-making. The significance of Graphthulhu lies in its ability to bridge a critical gap between AI and personal knowledge management tools, empowering users to improve their learning experience and content organization. With features such as topic cluster identification, decision tracking, and flashcard management, the tool enhances users' ability to discover knowledge gaps and optimize their information retention. The inclusion of advanced querying options, like DataScript for Logseq, further enriches the AI's capability to perform complex searches and analysis, ultimately transforming how users can interact with their knowledge bases.