drewburchfield/obsidian-graph-mcp
Semantic knowledge graph navigation for Obsidian or markdown vaults using AI-powered vector embeddings and PostgreSQL+pgvector
This tool helps knowledge workers navigate large collections of markdown notes, like an Obsidian vault, by revealing hidden conceptual connections. It takes your existing notes and uses AI to understand their meaning, then generates a map of how different ideas relate to each other. This is for anyone who manages a personal knowledge base, writes extensively in markdown, or uses tools like Obsidian and wants to discover insights beyond simple keyword searches.
Use this if you need to find semantic connections between your markdown notes, identify core conceptual anchors, or locate isolated insights within a large personal knowledge vault.
Not ideal if you primarily need to search for exact keywords, manage only a handful of notes, or are looking for a collaborative knowledge management solution.
Stars
8
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 20, 2026
Commits (30d)
0
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