Cloudinary

Cloudinary

yoavniran

Connects AI assistants to Cloudinary's cloud storage for uploading and managing images, videos, and other digital media assets.

Provides direct access to Cloudinary's Upload and Admin APIs for uploading, retrieving, searching, and managing digital media assets in your Cloudinary cloud.

1296 views2Local (stdio)

What it does

  • Upload media files to Cloudinary
  • Search and retrieve existing assets
  • Manage digital media metadata
  • Access Cloudinary Admin API functions

Best for

Content creators managing media librariesDevelopers building media-rich applicationsTeams automating asset workflows
Direct API access to CloudinaryRequires API key setup

About Cloudinary

Cloudinary is a community-built MCP server published by yoavniran that provides AI assistants with tools and capabilities via the Model Context Protocol. Access Cloudinary's Upload and Admin APIs to upload, manage, and search your digital assets with powerful media asset ma It is categorized under cloud infrastructure, productivity.

How to install

You can install Cloudinary in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Cloudinary is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

README image

Cloudinary MCP Server

cloudinary-mcp-server MCP server

npm version

A Model Context Protocol server that exposes Cloudinary Upload & Admin API methods as tools by AI assistants. This integration allows AI systems to trigger and interact with your Cloudinary cloud.

How It Works

The MCP server:

  • Makes calls on your behalf to the Cloudinary API
  • Enables uploading of assets to Cloudinary
  • Enables management of assets in your Cloudinary cloud

It relies on the Cloudinary API to perform these actions. Not all methods and parameters are supported. More will be added over time.

Open an issue with a request for specific method if you need it.

Benefits

  • Turn your Cloudinary cloud actions into callable tools for AI assistants
  • Turn your Cloudinary assets into data for AI assistants

Usage with Claude Desktop

Prerequisites

  • NodeJS
  • MCP Client (like Claude Desktop App)
  • Create & Copy Cloudinary API Key/Secret at: API KEYS

Installation

To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:

{
    "mcpServers": {
        "cloudinary-mcp-server": {
            "command": "npx",
            "args": ["-y", "cloudinary-mcp-server"],
            "env": {
                "CLOUDINARY_CLOUD_NAME": "<cloud name>",
                "CLOUDINARY_API_KEY": "<api-key>",
                "CLOUDINARY_API_SECRET": "<api-secret>"
            }
        }
    }
}
  • CLOUDINARY_CLOUD_NAME - your cloud name
  • CLOUDINARY_API_KEY - The API Key for your cloud
  • CLOUDINARY_API_SECRET - The API Secret for your cloud

Tools

The following tools are available:

  1. upload

    • Description: Upload a file (asset) to Cloudinary
    • Parameters:
      • source: URL, file path, base64 content, or binary data to upload
      • folder: Optional folder path in Cloudinary
      • publicId: Optional public ID for the uploaded asset
      • resourceType: Type of resource to upload (image, video, raw, auto)
      • tags: Comma-separated list of tags to assign to the asset
  2. delete-asset

    • Description: Delete a file (asset) from Cloudinary
    • Parameters:
      • publicId: The public ID of the asset to delete
      • assetId: The asset ID of the asset to delete
  3. get-asset

    • Description: Get the details of a specific file (asset)
    • Parameters:
      • assetId: The Cloudinary asset ID
      • publicId: The public ID of the asset
      • resourceType: Type of asset (image, raw, video)
      • type: Delivery type (upload, private, authenticated, etc.)
      • tags: Whether to include the list of tag names
      • context: Whether to include contextual metadata
      • metadata: Whether to include structured metadata
  4. find-assets

    • Description: Search for existing files (assets) in Cloudinary with a query expression
    • Parameters:
      • expression: Search expression (e.g. 'tags=cat' or 'public_id:folder/*')
      • resourceType: Resource type (image, video, raw)
      • maxResults: Maximum number of results (1-500)
      • nextCursor: Next cursor for pagination
      • tags: Include tags in the response
      • context: Include context in the response
  5. get-usage

    • Description: Get a report on the status of your product environment usage, including storage, credits, bandwidth, requests, number of resources, and add-on usage
    • Parameters:
      • date: Optional. The date for the usage report in the format: yyyy-mm-dd. Must be within the last 3 months. Default: the current date

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