Cloudinary Automation
Automate Cloudinary media management including folder organization, upload presets, asset lookup, transformations, and usage monitoring through natural language commands
Overview
Automate Cloudinary media management workflows -- create folders, configure upload presets, look up assets, manage transformations, search folders, and monitor usage -- all through natural language.
Core features
Action
Tool Slug
Create folder
CLOUDINARY_CREATE_FOLDER
Search folders
CLOUDINARY_SEARCH_FOLDERS
List folder assets
CLOUDINARY_GET_RESOURCES_BY_ASSET_FOLDER
Create upload preset
CLOUDINARY_CREATE_UPLOAD_PRESET
Get asset details
CLOUDINARY_GET_RESOURCE_BY_PUBLIC_ID
List transformations
CLOUDINARY_GET_TRANSFORMATIONS
Update/transform asset
CLOUDINARY_EXPLICIT_RESOURCE
Target users
AI builders and operators who want Claude, Codex, Cursor, Gemini CLI, or similar agents to automate Cloudinary workflows through Composio.
How to use
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 ---
Effect review
Best for agent workflows that need real app actions with explicit tool discovery, connection checks, and schema-aware execution.
Frequently asked questions
What is Cloudinary Automation?
Automate Cloudinary media management including folder organization, upload presets, asset lookup, transformations, and usage monitoring through natural language commands
How do I use Cloudinary Automation?
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 ---
What does this skill require?
It requires Rube MCP and an active Composio connection for the Cloudinary toolkit before executing app actions.
Quick install
Add https://rube.app/mcp as an MCP server.
RUBE_MANAGE_CONNECTIONS toolkits: ["cloudinary"]
RUBE_SEARCH_TOOLS before every workflow, then execute with RUBE_MULTI_EXECUTE_TOOL.Tags
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