A
licenseNot graded
qualityC
maintenanceEnables AI agents to read and write to an iPad whiteboard via MCP, including structured elements, handwritten text, and image rendering.
2,006,968 npm
MIT
PassPaper
by Bin-H-17
Related Servers
Alternatives to PassPaper
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceAn MCP server that gives Claude direct access to your reMarkable tablet's notebooks, enabling document search, PDF rendering, handwriting transcription, and diagram conversion, all locally without API keys.63MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to interact with Ratta Supernote e-ink tablets over Wi-Fi, allowing live screen capture, reading and rendering of handwriting notes, and file upload.36 npm1MIT
- AlicenseAqualityCmaintenanceMCP server that connects AI assistants to your reMarkable tablet, enabling reading, searching, and traversing handwritten and typed notes via OCR.1016 PyPI3MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to collaboratively draw and annotate Excalidraw diagrams in real-time via MCP tools, synced to a browser canvas.8Apache 2.0
- FlicenseNot gradedqualityBmaintenanceMCP server enabling AI assistants to read and write Obsidian notes, create and edit Excalidraw drawings, and run Excalidraw scripts via natural language commands.-
TDQS
A4.1/5.0
Scored across 9 tools
Disambiguation4/5
Most tools target clearly distinct actions: connection, canvas clearing, status, sessions, and recognition. The main potential confusion is between get_handwriting and save_snapshot, since both capture the current canvas, but their descriptions clarify the different output modes. get_handwriting_status and get_connection_info also overlap slightly, but one is lightweight status while the other is setup-oriented.
Naming Consistency5/5
All tool names follow a consistent snake_case verb_noun pattern: get_handwriting, clear_canvas, save_snapshot, list_sessions, start_session, export_session, recognize_handwriting. There are no style mixes or vague one-word names, making the toolset predictable for an agent.
Tool Count5/5
Nine tools is well within the ideal range and each tool fills a distinct role in the handwriting tablet workflow. The count feels intentional: connection, reading, clearing, status, snapshotting, session management, export, and recognition are all represented without redundancy.
Completeness4/5
The core handwriting lifecycle is well covered: connect, write, read, clear, save, recognize, start session, list sessions, and export. Minor gaps exist around session lifecycle, such as no explicit session deletion or loading a previous session back onto the canvas, but these are workable via export and list operations.
Maintenance
ActivityMaintained
ResponsivenessNo issues