API & MCP

Programmatic access for your tools and agents.

The REST API is the canonical way to read and write. MCP is an adapter that lets AI agents use the same API natively.

Pull links — for one-off context handoff

Not every model speaks MCP, and not every task is worth a full integration. A pull link is a short, expiring URL that any AI tool can fetch — paste it into Claude Web, ChatGPT, Gemini, or the bash tool inside Claude Code, and the model reads the file itself.

Tokens are hashed at rest, scoped to a single object, capped at 24 hours, and revocable instantly. Edits, when enabled, queue as proposals for human approval — not direct writes.

Walk through Send to AI →

REST API

Full CRUD
Create, read, update, and search notes, files, and context bundles programmatically.
Connection tokens
Scoped API tokens with box-level access control and permission modes.
Write proposals
External agents propose changes. Humans approve or reject. No unsupervised edits.

MCP

Model Context Protocol
AI agents discover and use your tools natively through the MCP standard.
Same API, different interface
MCP is an adapter over the canonical API — not a second backend.
Scoped access
Each MCP connection gets the same box-level permissions as API tokens.

Ready to integrate?

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