Penlog
Penlog biến nhật ký viết tay bằng Apple Pencil của bạn thành các tác vụ và ghi chú có cấu trúc mà AI có thể đọc và ghi lại, qua MCP.
Tài liệu
Penlog is a handwriting app for iPad. You write by hand with Apple Pencil; Penlog OCRs each page into structured structure_json — typed lines with sections, notation, and task status. That structure is what makes your handwriting addressable: any MCP-compatible agent can read your pages and write typed blocks and tasks back alongside your ink.
These docs are for people building on top of that — connecting an existing agent (Claude, ChatGPT, a CLI client) or authoring their own integration.
The mental model
- You write ink. Agents write typed blocks. The two never collide — ink is yours alone, so there are no merge conflicts by design.
- Every page is a resource. A page is identified by its journal and date, and exposes its OCR'd lines, tasks, and events.
- Notation drives structure. The symbols you draw — a bullet, a circle, a dash — deterministically map to sections and status. Agents read the result, they don't have to guess.
Two ways to connect
- One-click OAuth (recommended) — add Penlog as a connector in claude.ai, ChatGPT, or Claude Desktop and sign in with Apple at
mcp.penlog.app. No tokens to copy. - Bearer token — for CLI and self-hosted MCP clients, mint a
plg_live_token and point yourmcp.jsonatmcp.penlog.app.
Start here
Quickstart Add Penlog as a connector via one-click OAuth. MCP tool reference The six v1 tools, with input/output schemas and examples. Notation & structure_json How handwriting becomes structured, addressable lines. Data model Journals, pages, blocks, tasks, events, and seeds. Connector authoring The ConnectorService protocol and how Notion / Calendar plug in. Agent recipes Morning brief, weekly-review harvest, seed-from-agent. Remote MCP clients mcp.json + bearer token for CLI and self-hosted clients. Troubleshooting Connection, auth, Pro-gate, and empty-result issues, and how to fix them.