Cloudinary Automation

Automate Cloudinary media management workflows -- create folders, configure upload presets, look up assets, manage transformations, search folders, and monitor usage -- all through natural language.

Toolkit docs: composio.dev/toolkits/cloudinary

Setup

1. Add the Rube MCP server to your environment: https://rube.app/mcp
2. Connect your Cloudinary account when prompted (API key auth via Composio)
3. Start issuing natural language commands for Cloudinary automation

Core Workflows

1. Organize Assets with Folders

Create folder structures for organizing hosted images, videos, and raw files.

Tool: CLOUDINARY_CREATE_FOLDER

Key parameters:

• folder -- full path of the new asset folder (required), e.g., images/events/2023

Supporting tools:

• CLOUDINARY_SEARCH_FOLDERS -- search folders by name, path, or creation date using Lucene-like expressions
  • expression -- search filter (e.g., name:sample AND path:events)
  • max_results -- 1-500 results (default 50)
  • sort_by -- list of sort objects (e.g., [{"created_at": "desc"}])
  • next_cursor -- pagination cursor
• CLOUDINARY_GET_RESOURCES_BY_ASSET_FOLDER -- list assets within a specific folder

Example prompt:

"Create a folder called 'marketing/campaigns/spring-2026' in Cloudinary"

2. Configure Upload Presets

Define centralized upload behavior including target folder, allowed formats, transformations, tags, and overwrite rules.

Tool: CLOUDINARY_CREATE_UPLOAD_PRESET

Key parameters:

• name -- preset name (auto-generated if omitted)
• folder -- target folder path for uploads (e.g., samples/)
• allowed_formats -- comma-separated list (e.g., jpg,png,webp)
• tags -- comma-separated tags to apply (e.g., marketing,thumbnail)
• transformation -- incoming transformation (e.g., c_limit,w_500)
• eager -- eager transformations to generate on upload (e.g., c_fill,g_face,h_150,w_150)
• unsigned -- allow unsigned uploads (true/false)
• overwrite -- overwrite existing assets with same public_id (cannot be true when unsigned=true)
• resource_type -- image, video, or raw (default image)
• unique_filename -- append random suffix to avoid collisions (default true)
• use_filename -- use original filename (default false)
• moderation -- moderation type: manual, webpurify, aws_rek, etc.
• auto_tagging -- confidence threshold 0.0-1.0 for AI auto-tagging
• notification_url -- webhook URL for upload notifications

Example prompt:

"Create an upload preset called 'product-images' that only allows JPG and PNG, stores in 'products/' folder, and auto-tags with 0.7 confidence"

3. Look Up Asset Details

Retrieve full details for a specific asset by its public ID, including metadata, derived assets, and related resources.

Tool: CLOUDINARY_GET_RESOURCE_BY_PUBLIC_ID

Key parameters:

• public_id -- the asset's public ID (required)
• resource_type -- image, video, or raw (required)
• type -- delivery type: upload, private, authenticated, fetch, etc. (required)
• colors -- include color histogram and predominant colors
• faces -- include detected face coordinates
• media_metadata -- include IPTC, XMP, and detailed metadata
• quality_analysis -- include quality analysis scores
• phash -- include perceptual hash for similarity detection
• versions -- include backed-up versions
• related -- include related assets
• max_results -- max derived/related assets to return (1-500)

Example prompt:

"Get full details for the image 'products/hero-banner' including color analysis and quality scores"

4. Manage Transformations and Derived Assets

List existing transformations, apply eager transformations to uploaded assets, and clean up derived resources.

Tools:

• CLOUDINARY_GET_TRANSFORMATIONS -- list all named and unnamed transformations
  • max_results -- 1-500 (default 10)
  • next_cursor -- pagination cursor
• CLOUDINARY_EXPLICIT_RESOURCE -- update an existing asset: pre-generate transformations, update metadata, move to new folders, or modify tags
  • public_id -- target asset (required)
  • eager -- list of transformation strings to pre-generate (e.g., ["c_fill,w_300,h_200", "c_thumb,w_100,h_100,g_face"])
  • eager_async -- generate transformations asynchronously
  • tags -- replace existing tags

…