rmprint

rmprint

Enables interaction with reMarkable tablets, allowing users to send PDFs and EPUBs, print from any application, list and read documents, and render handwritten pages as images. It provides MCP tools and skills for Claude to read and write to the tablet.

Category
Visit Server

README

<div align="center">

<img src="assets/logo.png" width="104" alt="">

rmprint

Your reMarkable, from the terminal and from Claude.

A virtual printer, a CLI, and an MCP server. One required dependency. Windows, macOS and Linux.

</div>


git clone https://github.com/marioallaa/rmprint
cd rmprint
python install.py          # Windows: double-click install.bat

That's it. A window opens and walks you through four steps: connect your account, add the printer, keep it running, hook it up to Claude.

<div align="center"><br>

Then just press Ctrl+P and choose reMarkable.

</div>

And with Claude:

You: what did I write in my notes about the supplier options? Claude: reads the handwritten pages — You compared three: Northwind…

What it does

Sends. PDFs and EPUBs, into any folder. Or typeset text straight from stdin — no browser, no LaTeX, no fonts to install.

Prints. rmprint printer install adds a real system printer. Ctrl+P from any application, pick reMarkable, and it lands on the tablet with its proper document name.

Reads. Lists your library, pulls text out of PDFs and EPUBs, and renders handwritten pages as images — including annotations drawn over the original.

Talks to Claude. Seven MCP tools, plus two Claude Skills that teach it how to write for a tablet and how to read handwriting properly.

What it deliberately cannot do: rename, move, delete, or create folders. It never writes to the sync tree, so the worst a bug in here can do is fail.

Install

Needs Python 3.10 or newer. Nothing else, and no administrator rights.

Windows Double-click install.bat
macOS / Linux ./install.sh
Any python install.py

The installer adds rmprint to your applications menu, sets it to start when you sign in, and opens the window. Open it again any time from the menu, or with rmprint.

<div align="center"> <img src="assets/screenshot.png" width="440" alt="The rmprint window"> </div>

To undo everything: python install.py --uninstall.

Prefer the terminal? pip install ".[notes]" and use the commands below — pipx and uv tool install work too. Drop [notes] if you only want to send documents; that extra is what enables reading them back.

Connect your account

The window's step 1 does this, but by hand it's:

  1. Open https://my.remarkable.com/device/desktop/connect and sign in.
  2. Copy the eight-character code. It expires in a few minutes.
  3. rmprint pair <code>

Already use rmapi? rmprint reads its token from ~/.rmapi, so you can skip pairing entirely. On Windows it will also use the reMarkable desktop app's login if that's signed in.

The printer

The window's step 2 adds it. By hand:

rmprint printer install --folder Reading

Then print to reMarkable from any application.

An agent runs in the background to upload what you print. It starts when you sign in, restarts itself if anything goes wrong, and logs to agent.log next to your config. You can start it by hand with rmprint agent, and see whether it's up in the window or with rmprint printer status.

On Windows no driver is installed. Windows already ships Microsoft Print To PDF, and the Local Port monitor accepts a file path as the port name — point the driver at one and it renders straight to that file with no Save As dialog. A watcher then recovers the document title from the print spooler and uploads. No administrator rights needed.

On macOS and Linux CUPS is already a PDF pipeline, so the printer is a queue plus a small backend that pipes each job to rmprint send. Installing a backend writes into /usr/lib/cups/backend, so:

sudo rmprint printer install --folder Reading

No watcher is needed there — CUPS hands the job over directly.

The Windows path is tested on real hardware. The CUPS backend follows the documented contract but has not been tested by the author. Reports welcome.

Commands

rmprint                        open the window (same as `rmprint gui`)

rmprint pair <code>            connect to a reMarkable account
rmprint status                 check the connection
rmprint folders                list folders

rmprint send FILE              send a PDF or EPUB
rmprint text [TEXT]            typeset text (or stdin) and send it

rmprint ls [FOLDER]            list documents
rmprint read DOC               print a document's text
rmprint page DOC               render a page as PNG, handwriting included
rmprint pull DOC               download the original PDF or EPUB

rmprint printer install|remove|status|watch
rmprint agent                  the always-on uploader (starts at login)
rmprint mcp                    run the MCP server over stdio
rmprint install-claude         register the MCP server with Claude Desktop

DOC can be an id, an exact title, or any distinctive fragment of one.

rmprint send contract.pdf -f Clients -t "Acme — MSA v3"
cat notes.md | rmprint text --title "Meeting notes" -f Work
rmprint text --title "Preview" -o out.pdf < notes.md    # local, don't send
rmprint read "board pack" | head -40
rmprint page "board pack" --page 3 --width 1800

Using it with Claude

rmprint install-claude          # --dry-run to see the change first

Restart Claude Desktop. Any existing config is backed up alongside the original before it's touched.

By hand, or for another MCP client:

{
  "mcpServers": {
    "rmprint": { "command": "python", "args": ["-m", "rmprint", "mcp"] }
  }
}
Windows %APPDATA%\Claude\claude_desktop_config.json
macOS ~/Library/Application Support/Claude/claude_desktop_config.json
Linux ~/.config/Claude/claude_desktop_config.json

The tools

Tool Does
status Is this connected, and to which account.
list_folders Where a document could go.
send_text Typeset text and send it.
send_document Send a PDF or EPUB from disk.
list_documents What's on the tablet, with page counts.
read_document The text layer of a PDF, EPUB, or typed notebook text.
get_page_image A page as an image — handwriting and annotations.

Handwriting is never transcribed by rmprint. It renders the page and lets Claude read it, which works far better than any OCR that could ship in here.

The Skills

Two Claude Skills ship in skills/:

  • remarkable-notes — how to write for a device that gets read away from a screen and annotated by hand, and how to file things. It also tells Claude to remember how you like it done: which folder work reading goes in, how you title client documents, whether you want a summary before the bullets.
  • remarkable-reading — how to read handwriting properly: page by page, transcribe before summarising, say what you can't make out, and preserve the structure that boxes and arrows carry.

Install the skills in the window (step 4) copies both into ~/.claude/skills/. Or copy the directories there yourself.

How it works

There is no public reMarkable API. This was worked out by watching the official desktop app.

Pairing. A one-time code is traded for a permanent device token:

POST webapp.cloud.remarkable.com/token/json/2/device/new
{"code": "...", "deviceDesc": "desktop-windows", "deviceID": "<uuid>"}

Sessions. The device token buys a user token good for about three hours. Its tectonic claim is your storage region (eu, us, …), which picks the sync host <region>.tectonic.remarkable.com.

Uploading. The document goes up whole, with title and destination in a header; the cloud unpacks it into the sync tree itself:

POST internal.cloud.remarkable.com/doc/v2/files
Content-Type: application/pdf
rm-meta: base64({"file_name": "...", "parent": "<folder uuid>"})

Reading is a read-only walk of /sync/v3/. Two details there cost the most time, so to save you the trouble:

  • Every blob request needs an rm-filename header whose extension the server validates — root.docSchema for the root index, <uuid>.docSchema for a document index, <uuid>.metadata for metadata. Anything else returns 400 unexpected 'rm-filename' http header, which is also what you get when the header is missing entirely, so the message misleads.
  • That header is matched case-sensitively. Python's urllib title-cases header names and sends Rm-Filename, which is rejected — hence http.client for those calls.

Index blobs are plain text: a schema line 3, then <sha256>:<type>:<name>:<subfiles>:<size> per entry, where type 80000000 marks a document index and 0 a plain file.

Handwriting is .rm v6, parsed by rmscene and rendered to SVG by rmc, then rasterised with PyMuPDF and composited over the original page.

Where things are kept

One file, holding one device token:

Windows %APPDATA%\rmprint\config.json
macOS ~/Library/Application Support/rmprint/config.json
Linux ~/.config/rmprint/config.json

chmod 600 on POSIX. Set RMPRINT_HOME to move it. Delete it to disconnect; there is nothing else to clean up.

Development

pip install -e ".[dev,notes]"
pytest

The suite covers the PDF writer — including that the xref offsets actually point at their objects, which is the classic way to emit a file readers reject — and the pure helpers. Nothing in it touches the network.

Notes

Undocumented endpoints, so reMarkable can break this whenever they like. Your documents go to reMarkable's cloud and nowhere else: no server in the middle, no telemetry.

Related work worth knowing: rmapi (a full-featured Go CLI), rmfakecloud (host the cloud yourself), and awesome-reMarkable.

Not affiliated with reMarkable AS.

Licence

MIT — see LICENSE.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured