What do I need to use this server?
A Raindrop.io account and an API access token from the Raindrop.io integrations settings. The token must be passed as the `RAINDROP_ACCESS_TOKEN` environment variable.
Raindrop.io MCP Server
@adeze
Basic information
About Raindrop.io MCP Server
Raindrop MCP Server
Raindrop.io MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"raindrop-mcp": {
"command": "npx",
"args": [
"skills",
"add",
"adeze/raindrop-mcp",
"--global"
]
}
}
}Raindrop.io MCP Server tools
17Server diagnostic information and library health metrics
List all collections as a flat list
Hierarchical view of collections with full breadcrumb paths
Create, update, or delete collections
Advanced search with filters, tags, and pagination
Create, update, or delete bookmarks
Fetch a single bookmark by ID
List bookmarks for a collection with pagination
AI-powered organization advice (tags/collections) for a URL or bookmark
Suggest relevant tags from bookmark metadata using AI-assisted analysis
Bulk update, move, or remove bookmarks in a specific collection
Rename, merge, or delete tags
Create, update, or delete highlights
Scan library for broken links, duplicates, and untagged items
Permanently empty the trash (requires confirmation)
Remove empty collections (requires confirmation)
Find and remove duplicate bookmarks with safe confirmation flow
Overview
What is Raindrop.io MCP Server?
Connects Raindrop.io — the bookmark management service — to AI assistants via the Model Context Protocol (MCP). It lets you organize, search, and manage bookmarks using natural language commands. Ideal for users who want to control their Raindrop.io library through tools like Claude, Gemini, or other MCP-compatible clients.
How to use Raindrop.io MCP Server?
Install using a one-liner for your AI tool (e.g., npx -y @adeze/raindrop-mcp for most clients, or the MCPB bundle for Claude Desktop) and set the RAINDROP_ACCESS_TOKEN environment variable with your Raindrop.io API token. Alternatively, add the server to your MCP client’s configuration file (mcp.json) with the same command and environment variable.
Key features of Raindrop.io MCP Server
- Create, update, and delete collections and bookmarks
- Advanced search with filters (tags, domain, type, date)
- Manage tags (rename, merge, delete) and highlights
- Bulk edit bookmarks in a collection
- Audit library for broken links, duplicates, and untagged items
- AI-powered organization suggestions for tags and collections
Use cases of Raindrop.io MCP Server
- Organize a large bookmark collection by creating and moving folders naturally
- Clean up duplicates, broken links, and empty collections in one session
- Automate tagging workflows with AI‑assisted suggestions
- Search bookmarks from your AI assistant without leaving the chat
- Bulk‑edit or move hundreds of bookmarks across collections
Frequently asked questions
How do I set up the API token in my environment?
Export `RAINDROP_ACCESS_TOKEN` as an environment variable in your shell or in your MCP client’s configuration (e.g., `env` field in `mcp.json`).
Does this server work with Claude Desktop?
Yes. Download the `raindrop-mcp.mcpb` bundle from the GitHub Releases and add it to Claude Desktop, setting the same environment variable.
Are there any dangerous operations that require extra confirmation?
Yes. `empty_trash`, `cleanup_collections`, and `remove_duplicates` require explicit confirmation before executing.
Is OAuth available to avoid manual tokens?
OAuth support is planned for a future release. Currently you must provide a manual API access token.
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