What is the Raindrop MCP Server?

The Raindrop MCP Server exposes the Raindrop.io API as a set of over 40 tools, enabling AI agents and automated workflows to directly interact with and manage your Raindrop.io data.

What Raindrop.io features can I automate?

You can automate comprehensive management of collections, bookmarks, tags, and highlights. It also includes tools for user information, statistics, and data export/import operations.

How does it integrate with AI assistants?

It seamlessly integrates with MCP clients (e.g., Claude Desktop), providing AI assistants with direct access to Raindrop.io functionalities via pre-mounted URIs and ready-to-use prompt templates for common tasks.

Is an API token required to use this server?

Yes, you must obtain a Raindrop.io API access token from your account settings and configure it as an environment variable for the server to operate and authenticate correctly.

Raindrop

Name: Raindrop
Author: yamahigashi

byyamahigashi

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Developer Tools

Productivity & Workflow

Content Management

Exposes the Raindrop.io API as a set of tools for AI agents and automated workflows via a Model Context Protocol (MCP) server implementation.

Connects AI agents and automated workflows to Raindrop.io by implementing a Model Context Protocol (MCP) server. It transforms the comprehensive Raindrop.io API into a suite of callable tools, allowing AI to programmatically manage bookmarks, collections, tags, and highlights. This enables intelligent systems to automate information organization, retrieval, and content curation, streamlining digital productivity.

Key Features

01Comprehensive API coverage for managing all aspects of Raindrop.io data.

02Provides pre-mounted MCP URIs for direct access to Raindrop.io resources (e.g., 'raindrop://collections/all').

03Seamless integration with MCP clients to empower AI assistants with Raindrop.io capabilities.

04Includes ready-to-use MCP prompt templates for common automation scenarios like weekly digests or duplicate finding.

05Over 40 auto-generated MCP tools covering collections, bookmarks, tags, highlights, and user endpoints.

060 GitHub stars

Use Cases

01Enable AI assistants to perform advanced search, batch updates, and deletions of bookmarks in Raindrop.io.

02Generate custom reports or content digests from Raindrop.io data using AI-driven prompts.

03Automate the creation, organization, and retrieval of Raindrop.io bookmarks and collections using AI agents.