by inkdropapp
Integrate with Inkdrop to manage notes, notebooks & tags in conversations. Search, read, and update Markdown notes using
Connects to your local Inkdrop note-taking app to search, read, create, and update Markdown notes through Claude conversations.
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.
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.
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.
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
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
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
Share your MCP server with the developer community
According to our notes, Inkdrop benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Inkdrop for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: Inkdrop is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Inkdrop against two servers with overlapping tools; this profile had the clearer scope statement.
Inkdrop has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Inkdrop surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Inkdrop is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Inkdrop has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Inkdrop for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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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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>Add server config to Claude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json%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"
}
}
}
}
read-note: Retrieve the complete contents of the note by its ID from the database.
noteId: The ID of the note to retrieve. It can be found as _id in the note docs. It always starts with note:.search-notes: List all notes that contain a given keyword.
keyword: Keyword to search for.read-note to get full content.book:, tag:, status:, title:, etc.list-notes: List all notes with specified conditions.
bookId: The notebook ID. It always starts with 'book:'.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.read-note to get full content.create-note: Create a new note in the database.
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:'.update-note: Update an existing note in the database. Only the fields you provide will be updated; omitted fields remain unchanged.
_id: The note ID. Must start with 'note:'._rev: The revision ID (CouchDB MVCC-token).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:'.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.
_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.list-notebooks: Retrieve a list of all notebooks.read-book: Retrieve a single notebook by its ID.
bookId: The notebook ID. Must start with 'book:'.list-tags: Retrieve a list of all tags.read-tag: Retrieve a single tag by its ID.
tagId: The tag ID. Must start with 'tag:'.create-tag: Create a new tag in the database.
name: The name of the tag.color: The color type of the tag (default, red, orange, yellow, olive, green, teal, blue, violet, purple, pink, brown, grey, black). Default: default.update-tag: Update an existing tag in the database.
_id: The tag ID. Must start with 'tag:'._rev: The revision ID (CouchDB MVCC-token).name: The name of the tag.color: The color type of the tag. Default: default.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
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ 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.