MCP (Model Context Protocol) is an open standard that lets an AI assistant connect to external tools and data sources. With an MCP notes server, the assistant can read and write your actual notes instead of only seeing what you paste into a chat.

Can Claude read and write my notes?

Yes. If your notes are exposed over MCP, Claude can read and edit the same markdown files you work in. In Baalda those edits merge with human edits in real time through the same sync, so nothing gets clobbered.

How is MCP better than pasting notes into ChatGPT?

Pasting is manual, lossy, and one-directional. Over MCP the assistant sees your live notes and writes changes straight back into the files, so it works as a real collaborator inside your second brain rather than a detached chat window.

Give your AI a second brain: connect Claude to your notes over MCP

Q: Does the AI change my files without a database in between?

In Baalda the AI writes to the same plain markdown files on disk that you edit. There is no proprietary database in the middle: its edits flow through the same CRDT sync as human keystrokes.

Most people use AI with their notes by copying and pasting. You paste a note into ChatGPT, ask for a summary, and paste the result back. It works, barely. The assistant never sees your real notes, only the fragment you handed it, and its output lands in a chat window instead of back in your knowledge base. MCP changes that.

What is MCP?

MCP, the Model Context Protocol, is an open standard that lets an AI assistant connect to external tools and data sources. Instead of only knowing what is in the chat, the assistant can call out to a connected system to read and write real data. An MCP notes server exposes your notes to the assistant as something it can actually operate on.

The important shift: the AI stops being a detached chat box and becomes a collaborator that works inside your files.

Copy-paste versus a real connection

The difference is not subtle.

Copy-paste is manual, lossy, and one-directional. You choose what the model sees, you move its output by hand, and nothing you learn together is captured unless you paste it back.
A live MCP connection lets the assistant read your current notes and write changes straight into them. Ask it to clean up meeting notes, and it edits the file. Ask what your team decided about pricing, and it reads the actual documents rather than guessing.

Once the assistant can read and write your notes directly, it can do the boring maintenance a second brain always needs: linking related notes, filling gaps, summarizing threads, keeping an index current.

The catch with most AI notes apps

Plenty of apps advertise built-in AI. Almost all of them run a closed assistant over their own cloud store. The AI is trapped inside their product, working on their copy of your data, and you cannot point your own assistant at your own notes. That is convenient until you want to use a different model, or you want the notes to stay as files you own.

How Baalda does it

Baalda takes the open approach. Your notes are plain markdown files on your disk, and Baalda exposes them over MCP.

Bring your own assistant. Connect Claude, or another MCP-capable assistant, to your vault.
It edits the real files. The assistant reads and writes the same .md files you do, not a separate copy in a cloud database.
Edits merge, they do not clobber. AI writes flow through the same CRDT sync as human keystrokes, so the assistant can work in a note while you and your teammates are in it too, and nothing gets overwritten.
Everything stays yours. Because the notes are files you own, connecting an AI does not hand your knowledge base to anyone.

This is what "AI-native" should mean: not a chatbot bolted onto a notes app, but an assistant working as a peer inside the same files your team already trusts.

Does the AI change my files without a database in between?

Yes. In Baalda there is no proprietary store sitting between the assistant and your notes. The AI writes to the same plain markdown on disk that you edit, and those writes are merged as operations through the sync layer, exactly like a human teammate's edits.