An MCP server that lets AI agents read and write a self-hosted TriliumNext knowledge base over its ETAPI, enabling note capture, structured table maintenance, and search.
A Model Context Protocol server enabling AI assistants to interact with TriliumNext notes, providing tools for creating, searching, reading, and updating notes in your knowledge base.
A Model Context Protocol (MCP) server for interacting with TriliumNext via its ETAPI. Enables LLMs to create, read, update, and organize notes, including embedding images and files directly into note content.
Lightning-fast MCP server for Trilium Notes — returns LLM-friendly markdown instead of raw HTML, so AI can read and write your notes naturally. Search, create, update, and organize your notes with AI.