adeze/raindrop-mcp: Raindrop MCP Server

Raindrop.io MCP Server

Connect Raindrop.io to your AI assistant with a simple MCP server. Use it to organize, search, and manage bookmarks with natural language.

What it can do

Create, update, and delete collections and bookmarks
Search bookmarks by tags, domain, type, date, and more
Manage tags (list, rename, merge, delete)
Read highlights from bookmarks
Bulk edit bookmarks in a collection
Audit broken links and duplicates, and manage trash

Tools

diagnostics - Server diagnostic information and library health metrics
collection_list - List all collections as a flat list
get_collection_tree - Hierarchical view of collections with full breadcrumb paths
collection_manage - Create, update, or delete collections
bookmark_search - Advanced search with filters, tags, and pagination
bookmark_manage - Create, update, or delete bookmarks
get_raindrop - Fetch a single bookmark by ID
list_raindrops - List bookmarks for a collection with pagination
get_suggestions - AI-powered organization advice (tags/collections) for a URL or bookmark
suggest_tags - Suggest relevant tags from bookmark metadata using AI-assisted analysis
bulk_edit_raindrops - Bulk update, move, or remove bookmarks in a specific collection
tag_manage - Rename, merge, or delete tags
highlight_manage - Create, update, or delete highlights
library_audit - Scan library for broken links, duplicates, and untagged items
empty_trash - Permanently empty the trash (requires confirmation)
cleanup_collections - Remove empty collections (requires confirmation)
remove_duplicates - Find and remove duplicate bookmarks with safe confirmation flow

Install

Quick Start (One-Liners)

Tool	One-Liner Command
Gemini CLI	`gemini extensions install https://github.com/adeze/raindrop-mcp`
Codex CLI	`codex mcp add raindrop -- npx -y @adeze/raindrop-mcp`
Claude Code	`claude mcp add raindrop -- npx -y @adeze/raindrop-mcp`
GitHub Copilot	`gh copilot config mcp add raindrop -- npx -y @adeze/raindrop-mcp`
Vercel Skills	`npx skills add adeze/raindrop-mcp`

Note: For tools adding an MCP server via npx, you must have the RAINDROP_ACCESS_TOKEN environment variable set in your shell or the tool’s environment config.

Vercel Skills (npx skills)

This project is compatible with the Vercel Skills system. All necessary manifests are present:

manifest.json: Standard MCP manifest for server definition.
SKILL.md: Standardized skill description for agent discovery.
mcp.json: Root configuration for MCP clients and registries.

To add this server to your local skill directory:

npx skills add adeze/raindrop-mcp --global

To contribute this to the Vercel Skills Registry, submit a Pull Request adding this repository URL to the registry.

Claude Desktop (MCPB)

Download the latest raindrop-mcp.mcpb from the GitHub Release and add it to Claude Desktop:

Releases: https://github.com/adeze/raindrop-mcp/releases

In Claude Desktop, add the bundle and set this environment variable:

RAINDROP_ACCESS_TOKEN (from your Raindrop.io integrations settings)

NPX (CLI)

Set your API token as an environment variable and run:

export RAINDROP_ACCESS_TOKEN=YOUR_RAINDROP_ACCESS_TOKEN
npx @adeze/raindrop-mcp

Manual MCP config (mcp.json)

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"
      }
    }
  }
}

Requirements

A Raindrop.io account
A Raindrop.io API Access Token: https://app.raindrop.io/settings/integrations

Support

Issues: https://github.com/adeze/raindrop-mcp/issues

Release

This repository uses semantic-release as the only supported release flow.

How publishing works

Releases run from pushes to master via .github/workflows/ci.yml.
semantic-release analyzes Conventional Commit messages, computes the next version, updates CHANGELOG.md, tags/releases on GitHub, and publishes npm.
During release preparation, .releaserc.json syncs manifest.json, mcp.json, and gemini-extension.json, then builds raindrop-mcp.mcpb so the GitHub Release includes the bundle.

Pre-release dry-run

Run .github/workflows/release-dry-run.yml with Run workflow before cutting a public release.
This validates semantic version calculation, registry auth, and release pipeline behavior without publishing.

Required secrets

GITHUB_TOKEN is provided by GitHub Actions for release automation.

npm trusted publishing

npm publishing is configured via GitHub Actions OIDC trusted publishing.
NPM_TOKEN is not required for the standard CI release path.

Local validation before merge

bun run lint
bun run type-check
bun run test
bun run build

Commit message examples

fix: handle empty tag merge payload
feat: add collection path filter
feat!: remove deprecated search parameter

Do not manually bump versions, push release tags, or run manual npm publish commands for normal releases.

📋 Recent Enhancements (v2.4.x)

Smart Organization & Hierarchy

AI Suggestions: New get_suggestions tool provides organizational advice using Raindrop’s API and MCP Sampling.
Collection Tree: get_collection_tree tool provides a hierarchical view with full breadcrumb paths.
Bulk Move: Added move operation to bulk_edit_raindrops for efficient library organization.
Pagination Support: Standardized list_raindrops and bookmark_search with pagination for large libraries.

Safety & Quality

Confirmation Logic: Destructive tools (empty_trash, cleanup_collections) now require explicit confirmation.
Standardized Naming: All tools now use consistent snake_case naming conventions.
CI/CD Pipeline: Enhanced GitHub Actions with automated linting, type-checking, and cross-transport tests.
Code Quality: Established ESLint and Prettier configurations for maintainable development.

📋 Previous Enhancements (v2.3.3)

Advanced Cleanup & Library Audit

📋 Previous Enhancements (v2.3.2)

MCP Resource Links Implementation

Modern resource content following current MCP SDK best practices
Efficient data access: tools return lightweight links instead of full payloads
Better performance: clients fetch full bookmark/collection data only when needed
Seamless integration with dynamic resource system (mcp://raindrop/{id})

SDK & API Updates

Updated to the latest supported MCP SDK in this repository
Modern tool registration with improved descriptions
Fixed API endpoints and path parameters
All core tools fully functional

Tool Optimization

Resource-efficient responses for bookmark/collection lists
Dynamic resource access via mcp://collection/{id} and mcp://raindrop/{id}
Better client UX with lighter list payloads
Full MCP compliance with official SDK patterns