Asana
Shares tags: automate
Image and video API for upload, transformation, and delivery. MCP server plus Admin/Upload APIs.
Stork Quadrant
An LLM can do most of what this tool's UI promises. No moat, no agent presence.
“Cloudinary's core value is CDN delivery, real-time transformation pipelines, and storage infrastructure — none of which an LLM can replicate alone. The coordination moat is real: it sits between your app, your media assets, and global delivery infrastructure, and ripping it out is painful once you're embedded. But the transformation logic itself is increasingly commoditized by open-source tools like Sharp and ImageMagick, and AI-native image pipelines are being built into competitors. The MCP server is a smart move but doesn't change the underlying exposure.”
An LLM alone could replace
Score history · +14 pts over 2 re-scores
Double down on the agent-callable API layer — become the media infrastructure that AI pipelines call, not the UI developers configure. Add proprietary AI transformation features (background removal, smart cropping with context awareness) that require their own model training and can't be replicated with a generic LLM call.
<a href="https://www.stork.ai/en/cloudinary" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/cloudinary?style=dark" alt="Cloudinary - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/cloudinary)
overview
Image and video API for upload, transformation, and delivery. MCP server plus Admin/Upload APIs.
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