Raindrop MCP

Connect Raindrop to your AI agents using the Model Context Protocol (MCP), enabling seamless integration with raindrop.io's services through standardized interfaces.

  • raindrop.io

    Save Bookmark

    Save a link as a bookmark to a Raindrop.io collection with optional tags and description
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    save
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    List Bookmarks

    Retrieve bookmarks from a specific collection with optional search and sorting
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    list
    search
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    Get Bookmark

    Retrieve details of a specific bookmark by ID
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    get
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    Update Bookmark

    Update an existing bookmark with new title, description, tags, or collection
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    update
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    Delete Bookmark

    Delete a bookmark from Raindrop.io permanently
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    delete
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    Create Collection

    Create a new collection to organize bookmarks with optional parent collection
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    create
  • raindrop.io

    List Collections

    Retrieve all bookmark collections from Raindrop.io account
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    list
  • raindrop.io

    Get Collection

    Retrieve details of a specific collection by ID
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    collection
    get
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    Update Collection

    Update an existing collection with new title, view style, or visibility
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    update
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    Delete Collection

    Delete a collection and optionally move its bookmarks
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  • What is Raindrop MCP?

    The Model Context Protocol (MCP) is an open standard that provides a unified way for AI applications to connect with external tools and data sources. Instead of building custom integrations for every service, MCP provides a standardized interface that allows AI models to discover available tools, understand their capabilities, and execute them safely and securely.

    With Raindrop MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Raindrop's available capabilities through the MCP server
    • Standardized integration: Use a consistent protocol instead of learning platform-specific APIs
    • Real-time capabilities: Tools are loaded and executed on-demand during conversations
    • Secure execution: Maintain proper authentication and isolation through ChatBotKit's MCP implementation
    • No custom coding: Leverage Raindrop's functionality without writing integration code

    How Raindrop MCP Works

    ChatBotKit's MCP action provides a powerful way to dynamically extend your AI agent's capabilities by loading tools from Raindrop's MCP server.

    Connect to MCP Server

    ChatBotKit establishes a connection to Raindrop API endpoints, initiating secure communication.

    Discover Available Tools

    The system automatically discovers all available Raindrop tools and their schemas through the MCP protocol.

    Load Tool Definitions

    Tool definitions are loaded into your conversation context, making them available to your AI agent.

    Execute Securely

    Your AI uses these tools as if they were native abilities, with secure execution and proper authentication.