MCP server · Notes
LINZA MCP server
by Semiotronika
Let your AI read your notes folder, suggest links and topics, and only change files after you approve.
LINZA is a helper for people with a big folder of notes, like an Obsidian vault or a pile of Markdown documents. It reads that folder, builds a small local index next to it, and helps your AI understand what is inside. It is handy when your notes have grown too big to keep in your head.
What is an MCP server? The 30-second version
On its own, your AI can only chat with you. An MCP server is a small helper program that gives your AI a new skill or a connection to something else. This one connects your AI to a folder of notes on your own computer, so it can look things up there and suggest ideas about your material. Nothing leaves your machine, and nothing gets changed unless you say yes.
What this MCP server does
You point LINZA at a folder of Markdown notes. It reads through them and builds a small database in a hidden .linza folder next to your notes. When you ask your AI something, the AI uses LINZA to search that database, spot topics, and suggest possible links between notes. LINZA shows each suggestion with evidence, so you can see why it thinks so. You review the suggestions, and only the ones you approve get saved.
Click to zoomWhat you can do with it
- Index a folder of notes so your AI can search it
- Find big topic areas inside your notes
- Suggest possible links between related notes
- Spot repeated formats, like logs or drafts
- Propose short memory notes for future sessions
- Build a small context pack to hand to another AI
- Read a single note by name when you ask
Try asking your AI
- “Check LINZA with agent_workspace action doctor and tell me what is missing”
- “Index my notes folder and show me the first five suggestions”
- “What are the main topics in my vault right now”
- “Show me which notes might be related to my last research note”
What it gives back to you
You get plain answers in the chat: how many notes were found, what topics showed up, and a short list of suggestions with reasons. Each suggestion tells you what would change if you approve it. Nothing is written to your notes during this step. If you approve something, LINZA saves it in its own small database, not in your note text.
Before you start
What you need
- Python installed on your computer
- A folder of Markdown notes, like an Obsidian vault
- An MCP client such as Claude Desktop, Cursor, or VS Code
- Optional: an embedding model running locally, for meaning-based search
Good to know
LINZA can create or replace a Markdown file if you clearly ask it to, but it runs in a dry-run mode first, and it will not change your note text during indexing or review.
Install it with your AI
Add LINZA MCP server to your AI, no technical skills needed
You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.
Sign in to get the install prompt
Members get a ready-made prompt that lets the Claude desktop app check LINZA MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.
Who it's for
People who keep a large folder of notes, research, or documents and want their AI to help make sense of it.
