Use case

Your library inside ChatGPT, Claude, and Cursor

AI tools forget you between chats. CapturedIt is the memory layer: save links, notes, screenshots, and voice — then plug that same library into ChatGPT, Claude, Cursor, and Gemini via MCP when you want to.

The Problem

You re-paste context into every chat. Bookmarks and Drive folders do not show up where you actually think — inside the assistant.

The Solution

Capture once into CapturedIt. Connect Vault via MCP. Ask your library from the tools you already live in — answers come with sources you can open.

How it works

Capture as you work

Browser extension, share sheet, email-in, or desktop — docs, errors, research, and voice land in one library.

Connect via MCP

Vault unlocks Model Context Protocol for Claude, Cursor, ChatGPT, and more — scoped keys, your control.

Ask where you already are

“How did I solve this CORS issue?” — your assistant searches your library and cites the capture.

Key features

MCP ready

Plug into Claude Desktop, Cursor, and other MCP clients without rebuilding a RAG stack.

Sources attached

Answers point back to the exact capture — not vibes from the model’s training data.

Optional Assist

You control when AI runs. Capture without Assist; ask when you need it.

Same library everywhere

Phone, browser, desktop, and your AI tools share one CapturedIt library.

Sample queries

Questions you can ask your library with AI (Pro+) or via ChatGPT/Claude (Vault):

“How did I fix this error last time?”

“What did I save about MCP auth?”

“Summarize my notes on the API redesign”

“I stopped pasting half my Drive into ChatGPT. The library is already there.”

FAQ

▶Do I need Vault for MCP?

Yes. Vault includes Context Hub / MCP access. Starter and Pro build the library; Vault connects it to external AI tools.

▶Is this the same as /use-cases/developers?

Developers focuses on coding workflows and Cursor. AI builders covers the broader MCP story across ChatGPT, Claude, Gemini, and Cursor.

▶Do you train on my library?

No. We never train models on your captures. See our privacy policy and How AI & privacy work on Learn.