Cloudinary MCP

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

  • cloudinary.com

    Load Cloudinary Tools

    Dynamically load MCP tools for comprehensive Cloudinary media management. This ability provides access to advanced Cloudinary capabilities including: - Upload, manage, and transform images and videos - Query media assets with complex filters and sorting - Manage media properties, metadata, and sharing settings - Handle media organization and categorization - Work with Cloudinary's delivery and optimization features Note: Do not call this ability if Cloudinary MCP tools are already loaded and available.
    cloudinary
    mcp
  • cloudinary.com

    List Resources

    List media assets from your Cloudinary account
    cloudinary
    list
    resources
    media
  • cloudinary.com

    Get Resource Details

    Get detailed information about a specific media asset
    cloudinary
    get
    resource
    details
  • cloudinary.com

    Get Account Usage

    Get current account usage details and limits
    cloudinary
    usage
    account
    quota
  • What is Cloudinary 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 Cloudinary MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Cloudinary'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 Cloudinary's functionality without writing integration code

    How Cloudinary MCP Works

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

    Connect to MCP Server

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

    Discover Available Tools

    The system automatically discovers all available Cloudinary 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.