Search and retrieve relevant content from Obsidian vaults stored in iCloud Drive using tokenized queries. Summarize results to quickly find and interact with specific notes.
List all notes in an Obsidian vault, optionally specifying a folder path and recursive search. Retrieve a structured view of notes for organization or AI integration with the MCP server.
Remove a note from the Obsidian vault by specifying its path, enabling direct management of notes through the MCP server for efficient knowledge base organization.
Retrieve and read the content of specific notes within an Obsidian vault using the MCP server. Input a note path to access its entire text for integration or analysis.
Generate and save new notes directly into an Obsidian vault by specifying the file path and content. Simplifies creating structured notes within your knowledge base.
Access and retrieve specific content from your Obsidian knowledge base by entering a search query, enabling efficient navigation and management of notes within the MCP server.
Connects AI assistants directly to Obsidian vaults with intelligent note creation using templates, semantic search, smart tagging to avoid duplicates, and specialized agent roles (Guardian, Researcher, Connection Weaver) for managing knowledge bases.
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.
Connects to Obsidian vaults via the Local REST API plugin, enabling AI-assisted Zettelkasten workflows including creating atomic notes, searching content, managing links and tags, and performing precise content editing operations.