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by drewburchfield • Uncategorized
An MCP server enabling AI-powered semantic knowledge graph navigation for Obsidian vaults using vector embeddings and PostgreSQL.
Find notes by semantic meaning rather than keywords.
Discover conceptual relationships and build knowledge graphs across notes.
Identify highly connected notes (hubs) or isolated notes (orphans) in an Obsidian vault.
This MCP server provides semantic analysis of Obsidian notes by generating high-dimensional vector embeddings to discover hidden conceptual connections and build multi-hop knowledge graphs. It supports semantic search, connection discovery, hub identification, and orphan detection, enhancing knowledge base navigation beyond keyword search. The server uses Voyage Context-3 embeddings and PostgreSQL with pgvector for fast, scalable vector search and graph traversal.