by adeze
Easily manage and export bookmarks and favorites in Chrome with Raindrop.io. The top bookmark manager for collections, t
Connect to your Raindrop.io bookmarks to search, add, and organize saved links directly from your AI assistant.
Raindrop.io is a community-built MCP server published by adeze that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily manage and export bookmarks and favorites in Chrome with Raindrop.io. The top bookmark manager for collections, t It is categorized under productivity.
You can install Raindrop.io in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Raindrop.io is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Raindrop.io is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Raindrop.io is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Raindrop.io reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Raindrop.io for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Raindrop.io surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Raindrop.io against two servers with overlapping tools; this profile had the clearer scope statement.
Raindrop.io reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Raindrop.io into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Raindrop.io is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Raindrop.io benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Connect Raindrop.io to your AI assistant with a simple MCP server. Use it to organize, search, and manage bookmarks with natural language.
Download the latest raindrop-mcp.mcpb from the GitHub Release and add it to Claude Desktop:
In Claude Desktop, add the bundle and set this environment variable:
Set your API token as an environment variable and run:
export RAINDROP_ACCESS_TOKEN=YOUR_RAINDROP_ACCESS_TOKEN
npx @adeze/raindrop-mcp
Add this to your MCP client configuration:
{
"servers": {
"raindrop": {
"type": "stdio",
"command": "npx",
"args": ["@adeze/raindrop-mcp@latest"],
"env": {
"RAINDROP_ACCESS_TOKEN": "YOUR_RAINDROP_ACCESS_TOKEN"
}
}
}
}
get_suggestions tool provides organizational advice using Raindrop's API and MCP Sampling.get_collection_tree tool provides a hierarchical view with full breadcrumb paths.move operation to bulk_edit_raindrops for efficient library organization.list_raindrops and bookmark_search with pagination for large libraries.empty_trash, cleanup_collections) now require explicit confirmation.resource content following MCP SDK v1.25.3 best practicesmcp://raindrop/{id})mcp://collection/{id} and mcp://raindrop/{id}Apologies to anyone affected by the last couple of builds. Thank you for the patience and reports.
This project is licensed under the MIT License - see the LICENSE file for details.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.