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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
-
Add server config to Claude Desktop:
- MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- MacOS:
{
"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
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_idin the note docs. It always starts withnote:.
- Required inputs:
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-noteto get full content. - Supports advanced search qualifiers like
book:,tag:,status:,title:, etc.
- Required inputs:
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, ortitle). Default:updatedAt.descending: Reverse the order of output. Default:true.
- Note: Results include truncated note bodies (200 characters). Use
read-noteto get full content.
- Required inputs:
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:'.
- Required inputs:
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:'.
- Required inputs:
patch-note: Update the body of an existing note by performing an exact string replacement. More efficient thanupdate-notefor small edits to large notes as it saves tokens. You must first read the note withread-noteto 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 replaceold_stringwith. Use an empty string to delete the matched text.
- Required inputs:
list-notebooks: Retrieve a list of all notebooks.read-book: Retrieve a single notebook by its ID.- Required inputs:
bookId: The notebook ID. Must start with 'book:'.
- Required inputs:
list-tags: Retrieve a list of all tags.read-tag: Retrieve a single tag by its ID.- Required inputs:
tagId: The tag ID. Must start with 'tag:'.
- Required inputs:
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.
- Required inputs:
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.
- Required inputs:
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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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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Ratings
4.5★★★★★43 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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