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reMarkable MCP Server

by rbonitz
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Python
Hybrid

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    • rm-mcp

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      Enables AI assistants to read, search, and traverse your reMarkable tablet library, including handwritten notes via OCR, turning it into a second brain.
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    • remark-mcp

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      Enables AI assistants to browse and read documents from a reMarkable tablet connected via USB, rendering PDF pages as images for the AI to see.
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    • rm-brain MCP server

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      Enables searching and exploring handwritten reMarkable notebooks through a natural conversation with Claude Desktop, with full-text search, classification, and source citations.
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    • Readbook MCP Server

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    • GoodNotes MCP Server

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.4/5.0

    Scored across 12 tools

    Disambiguation4/5

    Tools are mostly distinct, but remarkable_browse and remarkable_search overlap in searching by name and tags. remarkable_canvas and remarkable_image both render pages, though they serve different interactive vs static purposes. Overall boundaries are clear.

    Naming Consistency4/5

    All tools follow the 'remarkable_<word>' pattern in snake_case, but the words mix verbs (browse, delete, move, read, rename, search, upload) and nouns (image, canvas, status, recent, mkdir). The pattern is predictable but not strictly verb_noun.

    Tool Count5/5

    12 tools cover the core operations for a reMarkable tablet: browsing, reading, viewing, searching, organizing (create folder, move, rename, delete), uploading, and status. The count is well-scoped without redundancy.

    Completeness4/5

    Core CRUD-like operations are present, but missing download, explicit tag management, and update existing document. Browsing and search cover metadata and tags. Minor gaps that agents can work around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources