Inkdrop MCP Server

The Inkdrop MCP Server bridges the powerful local database of Inkdrop—a markdown‑based note‑taking application—with AI assistants that speak the Model Context Protocol. By exposing Inkdrop’s data through a set of well‑defined tools, the server allows Claude and other MCP‑compatible assistants to read, search, create, and update notes without leaving the AI environment. This removes the friction of manual data export or API wrappers, enabling developers to treat Inkdrop as a first‑class knowledge base in conversational workflows.

At its core, the server offers a rich toolbox that mirrors common note‑management tasks. fetches an entire note by its unique identifier, while performs keyword or qualifier‑based queries across the entire collection. For notebook‑level operations, lists all entries in a given notebook with optional tag or keyword filters, and provides an inventory of all notebooks. Creation and modification are handled by and , which support standard metadata such as status flags (, , etc.) and Markdown bodies. Finally, exposes all tags for filtering or classification purposes.

Developers can leverage these tools to build intelligent assistants that automatically surface relevant knowledge, suggest note updates, or even generate new content on the fly. For example, a project manager could ask Claude to “find all notes tagged with Sprint 5,” and the assistant would return a concise list that can be expanded into a full report. In educational settings, students could query their study notes by keyword and receive instant summaries or flashcards generated directly from the Inkdrop database. The server’s integration with Claude Desktop via a simple JSON configuration means that these capabilities are immediately available in the same environment where developers prototype and test their AI workflows.

What sets this MCP server apart is its tight coupling to Inkdrop’s local HTTP API, ensuring low latency and full read/write access without exposing the underlying CouchDB details. The server’s design follows MCP best practices, providing clear input schemas and output structures that AI assistants can consume effortlessly. Combined with the built‑in debugging support from MCP Inspector, developers enjoy a transparent development cycle where tool behavior can be inspected and tuned in real time. This makes the Inkdrop MCP Server an indispensable component for any AI‑powered note‑taking solution that values speed, reliability, and seamless integration.