productivity

Inkdrop

inkdropapp

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.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

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 43 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.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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MCP server reviews

Ratings

4.543 reviews
  • Li Li· Dec 28, 2024

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

  • Kabir Abbas· Dec 24, 2024

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

  • Ganesh Mohane· Dec 4, 2024

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

  • Sakshi Patil· Nov 23, 2024

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

  • Benjamin Liu· Nov 19, 2024

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

  • Ava Robinson· Nov 15, 2024

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

  • Neel Dixit· Nov 7, 2024

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

  • Layla White· Oct 26, 2024

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

  • Chaitanya Patil· Oct 14, 2024

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

  • Isabella Dixit· Oct 10, 2024

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

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