Raindrop
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Exposes the Raindrop.io API as a set of tools for AI agents and automated workflows via a Model Context Protocol (MCP) server implementation.
About
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
- Comprehensive API coverage for managing all aspects of Raindrop.io data.
- Provides pre-mounted MCP URIs for direct access to Raindrop.io resources (e.g., 'raindrop://collections/all').
- Seamless integration with MCP clients to empower AI assistants with Raindrop.io capabilities.
- Includes ready-to-use MCP prompt templates for common automation scenarios like weekly digests or duplicate finding.
- Over 40 auto-generated MCP tools covering collections, bookmarks, tags, highlights, and user endpoints.
- 0 GitHub stars
Use Cases
- Enable AI assistants to perform advanced search, batch updates, and deletions of bookmarks in Raindrop.io.
- Generate custom reports or content digests from Raindrop.io data using AI-driven prompts.
- Automate the creation, organization, and retrieval of Raindrop.io bookmarks and collections using AI agents.
Sponsored