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MCP server for accessing reMarkable tablet data

15 starsPython

Rm-MCP – Give Claude/OpenClaw access to your reMarkable tablet

by thijsverreck·Feb 17, 2026·3 points·0 comments
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AI Analysis

●●●BangerNiche GemShip It

Bridges offline tablet notes into Claude's context—solves the second-brain connectivity gap.

Strengths
  • •One-command setup (uvx) with browser OAuth removes friction vs. manual token registration
  • •Handwriting OCR via MCP sampling avoids external API keys, keeping stack self-contained
  • •FTS5 full-text search makes unstructured handwritten notes queryable to AI assistants
Weaknesses
  • •Requires reMarkable Connect subscription—gates feature behind another paywall
  • •Niche audience: only reMarkable owners using Claude/compatible MCP clients
Target Audience

reMarkable tablet users, developers using Claude Code, knowledge workers integrating note-taking with AI

Similar To

Obsidian Canvas · Roam Research integrations · Notion AI

Post Description

I take notes, and draft designs on a reMarkable tablet and wanted Claude to be able to reference them while I code.

So I built an Open Source MCP server that connects to the reMarkable Cloud API and gives AI assistants (Claude Code, OpenClaw, etc) read-only access to your entire library.

What it does:

- Read notebooks, PDFs, and ebooks with full text extraction - Full-text search across your library (SQLite FTS5 index) - Render pages as PNG/SVG — useful for hand-drawn diagrams and wireframes - Handwriting OCR using the client's own LLM via MCP sampling (no external API keys needed)

Setup is super easy using the following command:

curl -fsSL https://thijsverreck.com/setup.sh | sh

It installs dependencies, registers your tablet, and configures both Claude Code andClaude Desktop. The server runs via uvx and auto-updates on each launch.

Built with Python, runs on the MCP protocol so it works with any compatible client. Everything is read-only — it never writes to your tablet.

Would love feedback, especially from other reMarkable users who've been wanting better integration with their dev workflows.

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CogmemAi – Persistent Memory for Claude Code via MCP

Runs extraction and search server-side so your local MCP is a tiny HTTP client — no local DBs, no giant RAM leaks, and an easy npx install and .mcp.json or global MCP registration. It exposes clear tools (save_memory, recall_memories, extract_memories, get_project_context) and adds project-scoped + global preferences — a pragmatic fix for Claude Code's tiny flat-file memory. The tradeoff is obvious: usefulness depends on the hosted API (privacy, uptime, cost), and the repo looks early-stage with minimal commits and docs beyond the quickstart.

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203mo ago