Enables semantic search and note management for Obsidian vaults via the Model Context Protocol, allowing LLMs to search, read, and index notes, PDFs, and web pages locally.
Enables semantic search and content retrieval from local Obsidian vaults through the Model Context Protocol. It allows AI assistants to query notes by meaning, filter by tags, and access full note content for enhanced knowledge integration.
Enables AI assistants to interact with Obsidian vaults through vector search, vault indexing, and file monitoring. It provides a standardized interface for searching and managing markdown-based personal knowledge management data within the Model Context Protocol.
Provides AI assistants with full-text search access to your Obsidian vault, allowing them to query, retrieve, and analyze notes through the Model Context Protocol.
A Model Context Protocol server that enables semantic vector search over Obsidian notes, allowing AI assistants to intelligently search and retrieve relevant note content.