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hiromitsusasaki/raindrop-io-mcp-server

by Various

An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).

H

MCP

hiromitsusasaki/raindrop-io-mcp-server

Added 1 June 2026

#modelcontextprotocol #raindrop-io

Overview

An MCP server that lets LLMs read, search, and manage Raindrop.io bookmarks via the Model Context Protocol. It wraps the Raindrop.io API in a TypeScript server so AI agents can access saved links and collections.

Best for

Best for
Developers who want to give LLMs read/write access to their Raindrop.io bookmark library

Use cases

  • Retrieve bookmarks by collection or tag during a conversation
  • Search saved links by keyword or URL from an LLM
  • Create or update bookmarks and collections through natural language

Notes

An MCP server that lets LLMs read, search, and manage Raindrop.io bookmarks via the Model Context Protocol. It wraps the Raindrop.io API in a TypeScript server so AI agents can access saved links and collections.

73 stars on GitHub. Last updated 2025-06-04.

Use cases

  • Retrieve bookmarks by collection or tag during a conversation
  • Search saved links by keyword or URL from an LLM
  • Create or update bookmarks and collections through natural language

Pros

  • Direct integration with Raindrop.io, a popular bookmarking service
  • Simple MCP interface for LLMs to interact with personal bookmarks
  • Open source with TypeScript for easy customization

Cons

  • Requires a Raindrop.io API token and self-hosting the server
  • Limited to Raindrop.io’s own API capabilities and rate limits
  • Small community (73 stars) with minimal documentation beyond the repo

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Direct integration with Raindrop.io, a popular bookmarking service
  • Simple MCP interface for LLMs to interact with personal bookmarks
  • Open source with TypeScript for easy customization

Cons

  • Requires a Raindrop.io API token and self-hosting the server
  • Limited to Raindrop.io's own API capabilities and rate limits
  • Small community (73 stars) with minimal documentation beyond the repo