Perform advanced searches in Obsidian vaults using JsonLogic queries with 'glob' and 'regexp' operators. Find documents by tags, paths, or content patterns efficiently.
Execute multiple commands in Obsidian sequentially to automate workflows. Ensure notes are open for note-specific actions, enabling efficient task management through the Advanced Obsidian MCP Server.
Enables AI assistants to interact with local Obsidian vaults through direct filesystem access for reading, creating, and managing notes. It features high-performance SQLite indexing for fast searches, regex support, and tools for organizing tags and links without requiring additional plugins.
Enables MCP clients to interact with Obsidian vaults via filesystem operations and optional REST API integration for advanced UI commands. It features multi-vault auto-discovery, concurrent-safe file handling, and comprehensive tools for searching, reading, and managing vault content.
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.