Raindrop.io (Bookmarks) MCP Server for Mastra AIGive Mastra AI instant access to 26 tools to Create Collection, Create Many Raindrops, Create Raindrop, and more

Name: Raindrop.io (Bookmarks)
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Raindrop.io (Bookmarks) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

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The Raindrop.io (Bookmarks) MCP Server for Mastra AI is a standout in the Productivity category — giving your AI agent 26 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

typescript

import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "raindropio-bookmarks": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Raindrop.io (Bookmarks) Agent",
    instructions:
      "You help users interact with Raindrop.io (Bookmarks) " +
      "using 26 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Raindrop.io (Bookmarks)?"
  );
  console.log(result.text);
}

main();

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Raindrop.io (Bookmarks) MCP Server

Connect your Raindrop.io account to any AI agent and take full control of your digital library through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Raindrop.io (Bookmarks) tool infrastructure. Connect 26 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

Collection Management — List root and child collections, create new folders, or merge existing ones to keep your library organized.
Bookmark Operations — Create, update, or delete individual raindrops (bookmarks). Support for bulk operations allows you to manage multiple links at once.
Tagging & Filtering — Organize your content with tags. List, rename, merge, or delete tags to maintain a clean taxonomy.
Highlights & Backups — Access all your saved highlights across collections and view your available backups.
Trash Maintenance — Quickly empty your trash to permanently remove unwanted items.

The Raindrop.io (Bookmarks) MCP Server exposes 26 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 26 Raindrop.io (Bookmarks) tools available for Mastra AI

When Mastra AI connects to Raindrop.io (Bookmarks) through Vinkius, your AI agent gets direct access to every tool listed below — spanning bookmarks, web-clipping, organization, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create collection on Raindrop.io (Bookmarks)

Create a new collection

create

Create many raindrops on Raindrop.io (Bookmarks)

Create multiple raindrops

create

Create raindrop on Raindrop.io (Bookmarks)

Create a new raindrop (bookmark)

delete

Delete collection on Raindrop.io (Bookmarks)

Delete a collection

delete

Delete many raindrops on Raindrop.io (Bookmarks)

Delete multiple raindrops

delete

Delete raindrop on Raindrop.io (Bookmarks)

Delete a raindrop (bookmark)

delete

Delete tags on Raindrop.io (Bookmarks)

Delete tags

empty

Empty trash on Raindrop.io (Bookmarks)

Empty the trash collection

get

Get collection on Raindrop.io (Bookmarks)

Get a single collection

get

Get public user on Raindrop.io (Bookmarks)

Get public user details

get

Get raindrop on Raindrop.io (Bookmarks)

Get a single raindrop (bookmark)

get

Get user on Raindrop.io (Bookmarks)

io user. Get authenticated user details

list

List all highlights on Raindrop.io (Bookmarks)

List all highlights

list

List backups on Raindrop.io (Bookmarks)

List all backups

list

List child collections on Raindrop.io (Bookmarks)

List child collections

list

List collection highlights on Raindrop.io (Bookmarks)

List highlights in a collection

list

List filters on Raindrop.io (Bookmarks)

) for a collection. List filters

list

List raindrops on Raindrop.io (Bookmarks)

Use 0 for all, -1 for unsorted, -99 for trash. List raindrops in a collection

list

List root collections on Raindrop.io (Bookmarks)

List root collections

list

List tags on Raindrop.io (Bookmarks)

List tags

merge

Merge collections on Raindrop.io (Bookmarks)

Merge multiple collections

rename

Rename merge tags on Raindrop.io (Bookmarks)

Rename or merge tags

update

Update collection on Raindrop.io (Bookmarks)

Update a collection

update

Update many raindrops on Raindrop.io (Bookmarks)

Update multiple raindrops

update

Update raindrop on Raindrop.io (Bookmarks)

Update a raindrop (bookmark)

update

Update user on Raindrop.io (Bookmarks)

Update authenticated user details

Connect Raindrop.io (Bookmarks) to Mastra AI via MCP

Follow these steps to wire Raindrop.io (Bookmarks) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.ts and run with npx tsx agent.ts

Explore tools

Mastra discovers 26 tools from Raindrop.io (Bookmarks) via MCP

Why Use Mastra AI with the Raindrop.io (Bookmarks) MCP Server

Mastra AI provides unique advantages when paired with Raindrop.io (Bookmarks) through the Model Context Protocol.

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Raindrop.io (Bookmarks) without touching business code

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

TypeScript-native: full type inference for every Raindrop.io (Bookmarks) tool response with IDE autocomplete and compile-time checks

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Raindrop.io (Bookmarks) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Raindrop.io (Bookmarks) MCP Server delivers measurable value.

Automated workflows: build multi-step agents that query Raindrop.io (Bookmarks), process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed Raindrop.io (Bookmarks) as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query Raindrop.io (Bookmarks) on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using Raindrop.io (Bookmarks) tools alongside other MCP servers

Example Prompts for Raindrop.io (Bookmarks) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Raindrop.io (Bookmarks) immediately.

"List all my top-level bookmark collections."

"Save https://mcp.io to my 'Research' collection with the tag 'ai'."

"Empty my trash collection."

Troubleshooting Raindrop.io (Bookmarks) MCP Server with Mastra AI

Common issues when connecting Raindrop.io (Bookmarks) to Mastra AI through Vinkius, and how to resolve them.

createMCPClient not exported

Install: npm install @mastra/mcp

Raindrop.io (Bookmarks) + Mastra AI FAQ

Common questions about integrating Raindrop.io (Bookmarks) MCP Server with Mastra AI.

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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