Compatible with every major AI agent and IDE
Create collection on Raindrop.io (Bookmarks)
Create a new collection
Create many raindrops on Raindrop.io (Bookmarks)
Create multiple raindrops
Create raindrop on Raindrop.io (Bookmarks)
Create a new raindrop (bookmark)
Delete collection on Raindrop.io (Bookmarks)
Delete a collection
Delete many raindrops on Raindrop.io (Bookmarks)
Delete multiple raindrops
Delete raindrop on Raindrop.io (Bookmarks)
Delete a raindrop (bookmark)
Delete tags on Raindrop.io (Bookmarks)
Delete tags
Empty trash on Raindrop.io (Bookmarks)
Empty the trash collection
Get collection on Raindrop.io (Bookmarks)
Get a single collection
Get public user on Raindrop.io (Bookmarks)
Get public user details
Get raindrop on Raindrop.io (Bookmarks)
Get a single raindrop (bookmark)
Get user on Raindrop.io (Bookmarks)
io user. Get authenticated user details
List all highlights on Raindrop.io (Bookmarks)
List all highlights
List backups on Raindrop.io (Bookmarks)
List all backups
List child collections on Raindrop.io (Bookmarks)
List child collections
List collection highlights on Raindrop.io (Bookmarks)
List highlights in a collection
List filters on Raindrop.io (Bookmarks)
) for a collection. List filters
List raindrops on Raindrop.io (Bookmarks)
Use 0 for all, -1 for unsorted, -99 for trash. List raindrops in a collection
List root collections on Raindrop.io (Bookmarks)
List root collections
List tags on Raindrop.io (Bookmarks)
List tags
Merge collections on Raindrop.io (Bookmarks)
Merge multiple collections
Rename merge tags on Raindrop.io (Bookmarks)
Rename or merge tags
Update collection on Raindrop.io (Bookmarks)
Update a collection
Update many raindrops on Raindrop.io (Bookmarks)
Update multiple raindrops
Update raindrop on Raindrop.io (Bookmarks)
Update a raindrop (bookmark)
Update user on Raindrop.io (Bookmarks)
Update authenticated user details
How Vinkius protects your data
Is it possible to delete multiple bookmarks at once?
Absolutely. The delete_many_raindrops tool allows your agent to remove a list of bookmark IDs in a single operation.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Automated Workflows using Raindrop.io (Bookmarks)
Securely interface Claude Code, ChatGPT, and Cursor with the Raindrop.io (Bookmarks) API through semantic routing and standardized natural language triggers.
Automating bookmarks with AI
The Raindrop.io (Bookmarks) MCP integration translates natural language prompts into structured bookmarks queries. This allows agents to fetch and update productivity records securely.
Autonomous web clipping Strategies
Build automated workflows involving web clipping by connecting Raindrop.io (Bookmarks). It provides Claude and ChatGPT with direct API hooks into your productivity ecosystem.
Raindrop.io (Bookmarks). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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