Enables Large Language Models to read and perform limited write operations on an Obsidian vault via a stdio MCP server.
Sponsored
Obsidian MCP serves as a bridge, allowing Large Language Models (LLMs) to seamlessly interact with your Obsidian knowledge base. It provides comprehensive read access to all notes, empowering LLMs to retrieve information and context. Additionally, it offers controlled append-only write access to a configurable list of notes and supports the structured creation of new notes using predefined templates, enhancing the LLM's ability to contribute to and organize your vault.
Key Features
01Full read access to all Obsidian notes, including content and metadata.
02Configurable append-only write access to specific vault root notes.
03Structured note creation using customizable templates with placeholder support.
04Search functionality to find notes by title or content with relevant excerpts.
05Automatic expansion of template placeholders for dates and times.
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Use Cases
01Integrating AI agents into a personal knowledge management workflow.
02Automating the capture of quick notes or ideas into a designated Obsidian inbox.
03Allowing LLMs to query and retrieve information from a personal Obsidian knowledge base.
04Generating structured project plans, meeting notes, or daily journal entries within Obsidian using AI.
