Remarkable

Working with the reMarkable via remarkable-mcp

remarkable-mcp is a stdio MCP server (binary at ~/.local/bin/remarkable-mcp, uvx remarkable-mcp also works) that talks to the reMarkable cloud (or the tablet over SSH/USB). It exposes read and write tools for documents on the tablet.

Setup and auth

Register the server once, at user scope so it is available in every project:

claude mcp add remarkable -s user -- remarkable-mcp
claude mcp list        # expect: remarkable: remarkable-mcp - ✔ Connected

Auth uses a cloud token stored in ~/.rmapi. If that file exists, the server is already authenticated (remarkable_status reports "authenticated": true) — no further action. To register a new device, get a one-time code from https://my.remarkable.com/device/desktop and run:

remarkable-mcp --register <code>     # prints/stores the token

Transports: cloud API by default; --ssh (developer mode) or --usb for a directly-connected tablet; --no-cloud-fallback to forbid the cloud fallback. Write tools (upload/mkdir/move/rename/delete) are on by default; pass --read-only to expose a read-only server.

Tool inventory

Get exact schemas at runtime with tools/list (see the script below).

Reading annotations: merged render + highlight/notes extraction

Requires the patched build — the fixes below live on the fix/render-merged-imported-pdfs branch of ~/devel/remarkable-mcp, installed editable via uv tool install --editable ~/devel/remarkable-mcp --force. The PyPI remarkable-mcp (≤ 1.0.0) still has the bugs listed under "Unpatched release" — check with uv tool list (a file:// / local version = patched).

With the patched build:

• Composite an annotated page: remarkable_image(document, page, render_merged=True) returns one PNG with the PDF page + pen strokes + text highlights at correct positions (PNG only; the page needs a PDF underlay). Save the blob and Read it (see the resource-blob gotcha).
• Find/extract annotations without scanning every page: remarkable_read(document, content_type="annotations") returns an "Annotated pages" section — only the pages that carry annotations, each showing whether it has handwritten notes and its highlighted text. The underlying extraction result also exposes highlights (flat list) and annotated_pages ([{page, page_id, has_handwriting, highlights}], 1-based page numbers).

Highlight text is the reMarkable's stored text selection: great for locating annotated passages, but occasionally glitchy (a dropped letter, or a sentence split across entries) — treat it as a finder, not a verbatim transcript.

Unpatched release (PyPI ≤ 1.0.0): use the native email export

On the release build, render_merged is broken for imported PDFs (formatVersion-1 docs render annotation-only; the coordinate transform mis-places ink — single strokes off-position, multi-stroke pages fill solid black), text highlights never render, and content_type=annotations returns no highlights. For correct output there, use reMarkable's own on-device export:

1. Tablet: open the document → Page overview → long-press the page → ⋯ (More) → Send by email → PDF (or PNG) → send to the user's own address.
2. Retrieve it via a connected Gmail/mail MCP (claude mcp list to check) — pull the attachment — or ask the user to share the file. Then Read it; positions are exact because reMarkable rendered it. You cannot trigger this export headlessly (no cloud endpoint); the user taps once, you fetch and read.

Gotchas (learned the hard way — read before using)

1. Address documents by PATH or name, not the upload UUID. remarkable_upload returns a uuid, but remarkable_read/remarkable_image look up by path (e.g. /My Paper (draft)) or name — passing the uuid gives document_not_found. After uploading, call remarkable_search/remarkable_recent to get the path, then use that.

2. Pages are 1-based. page=0 → page_out_of_range ("use page=1 to N").

3. Mid-session claude mcp add (or reinstalling the tool) does not reach the current session. claude mcp list shows ✔ Connected, but the mcp__remarkable__* tools — and any freshly-installed build — are only picked up at session start, so ToolSearch won't find the tools until a new session. To act immediately in the same session, drive the stdio server directly with scripts/rm_mcp.py (a JSON-RPC client).

4. Annotations only exist in the cloud once the tablet has synced. A layer made on the device is invisible to the cloud API until the tablet syncs up. Signs it hasn't: the document's modified time still equals the upload time; render_merged/content_type=annotations show no ink or highlights. Do not conclude there is no annotation — ask the user to sync (Wi-Fi, wake the device / manual sync), then retry.

5. Image results come back as an MCP resource blob. In the tools/call result, content[] holds an item of type resource with base64 in resource.blob (or type image with data). Save those bytes to a .png and Read it. Do not rely on resources/read of the remarkableimg:///… URI — spaces/parentheses in document names break it ("unbalanced parenthesis"); use the inline blob from tools/call instead. Note some modes (compatibility=true) return the PNG as a data:image/png;base64,… string in a data_uri JSON field instead — handle that shape too.

Driving the server directly (in-session fallback)

When the MCP tools are not yet loaded (gotcha 3), or for scripted/batch use, run scripts/rm_mcp.py. It speaks the newline-delimited JSON-RPC stdio protocol (initialize → notifications/initialized → tools/call) and handles saving image blobs to files.

# discover tools and schemas
scripts/rm_mcp.py list

# status / find a just-uploaded doc's path
scripts/rm_mcp.py call remarkable_status
scripts/rm_mcp.py call remarkable_recent '{"limit":5}'

# upload a PDF (root folder)
scripts/rm_mcp.py call remarkable_upload \
  '{"file_path":"/abs/path/article.pdf","document_name":"My Paper (draft)"}'

# render page 1 with annotations composited onto the PDF (patched build)
scripts/rm_mcp.py render "/My Paper (draft)" 1 out.png

# list annotated pages + highlighted text
scripts/rm_mcp.py call remarkable_read \
  '{"document":"/My Paper (draft)","content_type":"annotations"}'

Then Read the saved PNG. On the patched build render composites the page + ink

• highlights at correct positions; on the unpatched release it returns only the (cropped, possibly mis-placed) ink layer — see the version note above. The script is small and provider-agnostic; read it before extending.

Verify an upload

remarkable_upload returns "uploaded": true with a uuid; confirm it landed with remarkable_recent/remarkable_search (the cloud may take a moment to index). It syncs to the physical device when the tablet is online.

Versioned review workflow (send a draft, iterate, keep history)

The common loop is: send a document to the tablet, the user reviews and annotates it there, you read the annotations, revise the source, and send the revised build back. Do it as a versioned trail, not an overwrite.

Why this matters: remarkable_upload to the cloud is add-only — it never replaces. Re-uploading a revised PDF under the same name creates a second document with that same name, not a new revision of the first. So uploads naturally accumulate; embrace that instead of fighting it.

The workflow, unless the user says otherwise:

1. Bake the version — and the branch — into the name at upload time. Every upload gets a unique document_name with date and version: "<Title> (draft YYYY-MM-DD, vN)" on the default branch (the vt-debug paper's convention; "<Title> (review vN)" works for non-drafts), and "<Title> (<branch>, draft YYYY-MM-DD, vN)" when the build comes from a feature branch or worktree — e.g. learnlog (metrics, draft 2026-08-31, v8). Take <branch> from git branch --show-current, dropping a worktree- prefix, so the user can tell on the tablet which line of work a draft belongs to and two branches' drafts do not interleave silently in one version sequence. <Title> is the existing document family's name — before the first upload in a session, run remarkable_browse(query="<title word>") and reuse the family name and its highest vN; inventing a new family ("learnlog documentation (metrics, …, v1)" beside an existing "learnlog (draft …, v7)") breaks the version trail and costs a rename. Because no two uploads share a name, there is no rename step and no name-collision ambiguity — every later tool call addresses the document by its unique name. Never upload under a bare base name planning to rename afterwards.
2. Leave the earlier versions in place. The tablet then holds the whole review history, each version distinguishable at a glance, and the user can compare against their earlier annotations. Do not delete or overwrite prior versions unless the user asks (a version superseded within minutes, before the user opened it, is fair to offer to delete — still ask).
3. Pick N by incrementing the last uploaded version — from the conversation, the repo's commit messages (pairing each upload with its commit, message noting "uploaded as draft YYYY-MM-DD, vN", keeps this trail in git), or by remarkable_search-ing the title and taking the highest existing suffix across all branches (one counter per document family, not per branch, so v8 on a feature branch follows v7 from main and a later main build is v9). Version numbers are cheap: a same-day follow-up change gets vN+1, never a silent re-upload of vN.
4. Read annotations from the version the user reviewed — usually the latest, but if they name an older draft, read that one. Before concluding a version has no annotations, remember the sync trap (gotcha 4): ask the user to sync rather than report "no comments".

If you did end up with two documents sharing a name (e.g. an upload that was meant to replace): rename by path/name, never the upload UUID (gotcha 1 — the UUID lookup fails). remarkable_browse/_recent lists the most recently modified first, so the fresh upload is the first match and rename-by-name targets it — but verify afterward: re-browse and check that the new name landed on the entry whose modified time is the newest, not on an older version.

If the user instead wants a single evolving document (no history), the add-only cloud API can't update in place — delete the prior version after a successful new upload (ask first; deletion is destructive), or keep one name and let them tell versions apart by modified date.

For research papers, the surrounding loop (read all annotated pages, apply the round, rebuild, one commit per round named after the draft, push, upload the next version) is owned by the scientific-writing skill; this section owns only the tablet mechanics.