productivity

Inkdrop

by inkdropapp

Integrate with Inkdrop to manage notes, notebooks & tags in conversations. Search, read, and update Markdown notes using

Integrates with Inkdrop's note-taking application to enable searching, reading, creating, and updating Markdown notes directly within conversations through seven specialized tools for managing notes, notebooks, and tags.

github stars

52

Requires local Inkdrop installationSeven specialized note management tools

best for

  • / Knowledge workers managing personal notes
  • / Researchers organizing markdown documentation
  • / Writers collaborating with AI on note content

capabilities

  • / Search notes by keyword with advanced qualifiers
  • / Read full note contents by ID
  • / Create new Markdown notes
  • / Update existing notes
  • / List notes by notebook or tags
  • / Manage notebooks and tags

what it does

Connects to your local Inkdrop note-taking app to search, read, create, and update Markdown notes through Claude conversations.

about

Inkdrop is an official MCP server published by inkdropapp that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Inkdrop to manage notes, notebooks & tags in conversations. Search, read, and update Markdown notes using It is categorized under productivity.

how to install

You can install Inkdrop in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

Inkdrop is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Inkdrop MCP Server

A Model Context Protocol server for the Inkdrop Local HTTP Server API.

<a href="https://glama.ai/mcp/servers/c7fgtnckbv"> <img width="380" height="200" src="https://glama.ai/mcp/servers/c7fgtnckbv/badge" alt="Inkdrop Server MCP server" /> </a>

Installation

  1. Set up a local HTTP server

  2. Add server config to Claude Desktop:

    • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "inkdrop": {
      "command": "npx",
      "args": ["-y", "@inkdropapp/mcp-server"],
      "env": {
        "INKDROP_LOCAL_SERVER_URL": "http://localhost:19840",
        "INKDROP_LOCAL_USERNAME": "your-local-server-username",
        "INKDROP_LOCAL_PASSWORD": "your-local-server-password"
      }
    }
  }
}

Components

Tools

  1. read-note: Retrieve the complete contents of the note by its ID from the database.
    • Required inputs:
      • noteId: The ID of the note to retrieve. It can be found as _id in the note docs. It always starts with note:.
  2. search-notes: List all notes that contain a given keyword.
    • Required inputs:
      • keyword: Keyword to search for.
    • Note: Results include truncated note bodies (200 characters). Use read-note to get full content.
    • Supports advanced search qualifiers like book:, tag:, status:, title:, etc.
  3. list-notes: List all notes with specified conditions.
    • Required inputs:
      • bookId: The notebook ID. It always starts with 'book:'.
    • Optional inputs:
      • tagIds: An array of tag IDs to filter. Each starts with 'tag:'.
      • keyword: Keyword to filter notes.
      • sort: Sort field (updatedAt, createdAt, or title). Default: updatedAt.
      • descending: Reverse the order of output. Default: true.
    • Note: Results include truncated note bodies (200 characters). Use read-note to get full content.
  4. create-note: Create a new note in the database.
    • Required inputs:
      • bookId: The notebook ID. Must start with 'book:' or be 'trash'.
      • title: The note title.
      • body: The content of the note in Markdown.
    • Optional inputs:
      • status: The note status (none, active, onHold, completed, dropped).
      • tags: An array of tag IDs to assign to the note. Each must start with 'tag:'.
  5. update-note: Update an existing note in the database. Only the fields you provide will be updated; omitted fields remain unchanged.
    • Required inputs:
      • _id: The note ID. Must start with 'note:'.
      • _rev: The revision ID (CouchDB MVCC-token).
    • Optional inputs:
      • bookId: The notebook ID. Must start with 'book:' or be 'trash'.
      • title: The note title.
      • body: The content of the note in Markdown.
      • status: The note status (none, active, onHold, completed, dropped).
      • tags: An array of tag IDs to assign to the note. Each must start with 'tag:'.
  6. patch-note: Update the body of an existing note by performing an exact string replacement. More efficient than update-note for small edits to large notes as it saves tokens. You must first read the note with read-note to get the current body.
    • Required inputs:
      • _id: The note ID. Must start with 'note:'.
      • _rev: The revision ID (CouchDB MVCC-token).
      • old_string: The exact text to find in the note body. Must match exactly one occurrence. Include enough surrounding context to ensure a unique match.
      • new_string: The text to replace old_string with. Use an empty string to delete the matched text.
  7. list-notebooks: Retrieve a list of all notebooks.
  8. read-book: Retrieve a single notebook by its ID.
    • Required inputs:
      • bookId: The notebook ID. Must start with 'book:'.
  9. list-tags: Retrieve a list of all tags.
  10. read-tag: Retrieve a single tag by its ID.
    • Required inputs:
      • tagId: The tag ID. Must start with 'tag:'.
  11. create-tag: Create a new tag in the database.
    • Required inputs:
      • name: The name of the tag.
    • Optional inputs:
      • color: The color type of the tag (default, red, orange, yellow, olive, green, teal, blue, violet, purple, pink, brown, grey, black). Default: default.
  12. update-tag: Update an existing tag in the database.
    • Required inputs:
      • _id: The tag ID. Must start with 'tag:'.
      • _rev: The revision ID (CouchDB MVCC-token).
      • name: The name of the tag.
    • Optional inputs:
      • color: The color type of the tag. Default: default.

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector "./dist/index.js"

Be sure that environment variables are properly configured.

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

You can also watch the server logs with this command:

tail -n 20 -f ~/Library/Logs/Claude/mcp-server-inkdrop.log

FAQ

What is the Inkdrop MCP server?
Inkdrop is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Inkdrop?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Inkdrop is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Inkdrop against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Inkdrop is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Inkdrop reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Inkdrop for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Inkdrop surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Inkdrop has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Inkdrop benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Inkdrop into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Inkdrop is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.