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MCP server for accessing reMarkable tablet data - sync files, extract text from highlights, and browse your reMarkable cloud

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reMarkable MCP Server

Unlock the full potential of your reMarkable tablet as a second brain for AI assistants. This MCP server lets Claude, VS Code Copilot, and other AI tools read, search, and traverse your entire reMarkable library β€” including handwritten notes via OCR.

Why remarkable-mcp?

Your reMarkable tablet is a powerful tool for thinking, note-taking, and research. But that knowledge stays trapped on the device. This MCP server changes that:

  • Full library access β€” Browse folders, search documents, read any file
  • Typed text extraction β€” Native support for Type Folio and typed annotations
  • Handwriting OCR β€” Convert handwritten notes to searchable text
  • PDF & EPUB support β€” Extract text from documents, plus your annotations
  • Smart search β€” Find content across your entire library
  • Second brain integration β€” Use with Obsidian, note-taking apps, or any AI workflow

Whether you're researching, writing, or developing ideas, remarkable-mcp lets you leverage everything on your reMarkable through AI.


Quick Install

⚑ SSH Mode (Recommended)

Connect directly via USB for 10-100x faster access, offline operation, and no subscription required.

Install SSH Mode in VS Code Install SSH Mode in VS Code Insiders

Requirements: Developer mode enabled + USB connection to your reMarkable

πŸ“‹ Manual SSH Configuration

Add to .vscode/mcp.json:

{
  "servers": {
    "remarkable": {
      "command": "uvx",
      "args": ["remarkable-mcp", "--ssh"],
      "env": {
        "GOOGLE_VISION_API_KEY": "your-api-key"
      }
    }
  }
}

See SSH Setup Guide for detailed instructions.


☁️ Cloud Mode (Alternative)

If you can't enable developer mode, use the Cloud API. Requires a reMarkable Connect subscription.

πŸ“‹ Cloud Mode Setup

1. Get a One-Time Code

Go to my.remarkable.com/device/desktop/connect and generate a code.

2. Convert to Token

uvx remarkable-mcp --register YOUR_CODE

3. Install

Install Cloud Mode in VS Code Install Cloud Mode in VS Code Insiders

Or configure manually in .vscode/mcp.json:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "remarkable-token",
      "description": "reMarkable API Token",
      "password": true
    },
    {
      "type": "promptString",
      "id": "google-vision-key",
      "description": "Google Vision API Key",
      "password": true
    }
  ],
  "servers": {
    "remarkable": {
      "command": "uvx",
      "args": ["remarkable-mcp"],
      "env": {
        "REMARKABLE_TOKEN": "${input:remarkable-token}",
        "GOOGLE_VISION_API_KEY": "${input:google-vision-key}"
      }
    }
  }
}


Tools

Tool Description
remarkable_read Read and extract text from documents (with pagination and search)
remarkable_browse Navigate folders or search by document name
remarkable_search Search content across multiple documents
remarkable_recent Get recently modified documents
remarkable_status Check connection status
remarkable_image Get PNG/SVG images of pages (supports OCR via sampling)

All tools are read-only and return structured JSON with hints for next actions.

πŸ“– Full Tools Documentation

Smart Features

  • Auto-redirect β€” Browsing a document path returns its content automatically
  • Auto-OCR β€” Notebooks with no typed text automatically enable OCR
  • Batch search β€” Search across multiple documents in one call
  • Vision support β€” Get page images for visual context (diagrams, mockups, sketches)
  • Sampling OCR β€” Use client's AI for OCR on images (no API key needed)

Example Usage

# Read a document
remarkable_read("Meeting Notes")

# Search for keywords
remarkable_read("Project Plan", grep="deadline")

# Enable OCR for handwritten notes
remarkable_read("Journal", include_ocr=True)

# Browse your library
remarkable_browse("/Work/Projects")

# Search across documents
remarkable_search("meeting", grep="action items")

# Get recent documents
remarkable_recent(limit=10)

# Get a page image (for visual content like UI mockups or diagrams)
remarkable_image("UI Mockup", page=1)

# Get SVG for editing in design tools
remarkable_image("Wireframe", output_format="svg")

# Get image with OCR text extraction (uses sampling if configured)
remarkable_image("Handwritten Notes", include_ocr=True)

# Transparent background for compositing
remarkable_image("Logo Sketch", background="#00000000")

# Compatibility mode: return resource URI instead of embedded resource
remarkable_image("Diagram", compatibility=True)

Resources

Documents are automatically registered as MCP resources:

URI Scheme Description
remarkable:///{path}.txt Extracted text content
remarkableraw:///{path}.pdf Original PDF file (SSH only)
remarkableraw:///{path}.epub Original EPUB file (SSH only)
remarkableimg:///{path}.page-{N}.png PNG image of page N (notebooks only)
remarkablesvg:///{path}.page-{N}.svg SVG vector image of page N (notebooks only)

πŸ“– Full Resources Documentation


OCR for Handwriting

For handwritten content, remarkable-mcp offers several OCR backends. Choose based on your setup and requirements:

Backend Setup Quality Offline Best For
Sampling No API key Depends on client model βœ… Users with capable AI clients
Google Vision API key Excellent ❌ Best handwriting accuracy
Tesseract System install Poor for handwriting βœ… Printed text, offline fallback

Quick Setup

Set REMARKABLE_OCR_BACKEND in your MCP config:

{
  "env": {
    "REMARKABLE_OCR_BACKEND": "sampling"
  }
}

Options: sampling, google, tesseract, auto

πŸ“– Sampling OCR (No API Key)

Uses your MCP client's AI model for OCR. Works with clients that support MCP sampling (VS Code + Copilot, Claude Desktop, etc.).

Pros:

  • No additional API keys needed
  • Quality depends on your client's model (GPT-4, Claude, etc.)
  • Private β€” handwriting stays local to your client

Cons:

  • Only available with sampling-capable clients
  • Falls back to Google Vision (if API key configured) or Tesseract if sampling unavailable
πŸ“– Google Cloud Vision

Provides consistently excellent handwriting recognition.

Setup:

  1. Enable Cloud Vision API
  2. Create an API key
  3. Add to config: "GOOGLE_VISION_API_KEY": "your-key"

Cost: 1,000 free requests/month, then ~$1.50 per 1,000.

πŸ“– Full Google Vision Setup Guide

πŸ“– Tesseract (Fallback)

Open-source OCR designed for printed text. Poor results with handwriting, but useful as an offline fallback.

# Install Tesseract
# macOS
brew install tesseract

# Ubuntu/Debian
sudo apt install tesseract-ocr

# Windows
choco install tesseract

Default Behavior (auto)

When REMARKABLE_OCR_BACKEND=auto (default):

  1. Google Vision (if GOOGLE_VISION_API_KEY is set)
  2. Tesseract (fallback)

SSH vs Cloud Comparison

Feature SSH Mode Cloud API
Speed ⚑ 10-100x faster Slower
Offline βœ… Yes ❌ No
Subscription βœ… Not required ❌ Connect required
Raw files βœ… PDFs, EPUBs ❌ Not available
Setup Developer mode One-time code

πŸ“– SSH Setup Guide


Advanced Configuration

Root Path Filtering

Limit the MCP server to a specific folder on your reMarkable. All operations will be scoped to this folder:

{
  "servers": {
    "remarkable": {
      "command": "uvx",
      "args": ["remarkable-mcp", "--ssh"],
      "env": {
        "REMARKABLE_ROOT_PATH": "/Work",
        "GOOGLE_VISION_API_KEY": "your-api-key"
      }
    }
  }
}

With this configuration:

  • remarkable_browse("/") shows contents of /Work
  • remarkable_browse("/Projects") shows /Work/Projects
  • Documents outside /Work are not accessible

Useful for:

  • Focusing on work documents during office hours
  • Separating personal and professional notes
  • Limiting scope for specific AI workflows

Custom Background Color

Set the default background color for image rendering:

{
  "servers": {
    "remarkable": {
      "command": "uvx",
      "args": ["remarkable-mcp", "--ssh"],
      "env": {
        "REMARKABLE_BACKGROUND_COLOR": "#FFFFFF"
      }
    }
  }
}

Supported formats:

  • #RRGGBB β€” RGB hex (e.g., #FFFFFF for white)
  • #RRGGBBAA β€” RGBA hex (e.g., #00000000 for transparent)

Default is #FBFBFB (reMarkable paper color). This affects both the remarkable_image tool and image resources.


Use Cases

Research & Writing

Use remarkable-mcp while working in an Obsidian vault or similar to transfer knowledge from your handwritten notes into structured documents. AI can read your research notes and help develop your ideas.

Daily Review

Ask your AI assistant to summarize your recent notes, find action items, or identify patterns across your journal entries.

Document Search

Find that half-remembered note by searching across your entire library β€” including handwritten content.

Knowledge Management

Treat your reMarkable as a second brain that AI can access. Combined with tools like Obsidian, you can build a powerful personal knowledge system.


Documentation

Guide Description
SSH Setup Enable developer mode and configure SSH
Google Vision Setup Set up handwriting OCR
Tools Reference Detailed tool documentation
Resources Reference MCP resources documentation
Capability Negotiation MCP protocol capabilities
Development Contributing and development setup
Future Plans Roadmap and planned features

Development

git clone https://github.com/SamMorrowDrums/remarkable-mcp.git
cd remarkable-mcp
uv sync --all-extras
uv run pytest test_server.py -v

πŸ“– Development Guide


License

MIT


Built with rmscene, PyMuPDF, and inspiration from ddvk/rmapi.

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MCP server for accessing reMarkable tablet data - sync files, extract text from highlights, and browse your reMarkable cloud

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