Raindrop.io
Enables LLMs to interact with and manage bookmarks stored in Raindrop.io using the Model Context Protocol.
About
This integration allows Large Language Models (LLMs) to seamlessly interact with your Raindrop.io bookmarks, leveraging the Model Context Protocol (MCP). Using this MCP server, LLMs can create new bookmarks, search for existing ones, and filter them by tags, enabling a more efficient and context-aware interaction with your saved online resources. Enhance your workflow by empowering LLMs to access and manage your Raindrop.io collection directly.
Key Features
- 6 GitHub stars
- Filter bookmarks by tags
- Create bookmarks
- Search bookmarks
Use Cases
- Automated bookmark creation based on LLM analysis of text or web content.
- Contextual retrieval of bookmarks relevant to an LLM's current task or query.
- Organization of bookmarks with tags managed by an LLM based on content analysis.