# Raindrop.io

> Use this tool when you need to manage bookmarks, organize research materials, or analyze saved content within an AI conversation context. It provides direct access to the Raindrop.io bookmarking service, enabling CRUD operations, advanced search, and tag management through a TypeScript implementation. The tool accepts user input via stdio or HTTP/SSE and returns organized bookmark data, making it ideal for users seeking to streamline their content management workflow.

Canonical page: https://skillsregistry.net/skills/adeze-raindrop  
JSON: https://api.skillsregistry.net/v1/skills/adeze-raindrop

## Description

The Raindrop.io MCP Server provides AI assistants with direct access to the Raindrop.io bookmarking service through a TypeScript implementation built with Bun. It exposes resources for collections, bookmarks, tags, highlights, and user data, along with tools for CRUD operations, advanced search, tag management, and import/export functionality. The server communicates via stdio by default with optional HTTP/SSE support, uses Axios for API requests, and implements robust error handling with Zod validation. This implementation is particularly valuable for users who want to manage their bookmarks, organize research materials, or analyze saved content without leaving their AI conversation context.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adeze-raindrop)
- **Repository:** <https://github.com/adeze/raindrop-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "adeze-raindrop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adeze-raindrop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adeze-raindrop/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt