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[MCP] Cloudinary #8346

@kishanprmr

Description

@kishanprmr

🧩 Product Overview

Cloudinary is a cloud-based media management platform that allows you to upload, store, transform, optimize, and deliver images and videos at scale.
This integration enables AI agents and workflows to manage media assets automatically, upload, transform, search, and delete media.


⚠️ Important Note for Contributors

To ensure consistency and maintainability, this feature must be submitted as a Piece following the Activepieces architecture. Submissions that do not follow this format will not be accepted. Please make sure to review the Piece Development Guidelines before starting development.

Contributors based in India: please check your eligibility for receiving payments through your Stripe account before submitting, as this may affect your ability to get paid.


🚨 Triggers

Trigger Use Case
New Resource Fires when a new image, video, or file is uploaded to a specific folder or account.
New Tag Added to Asset Fires when a tag is added to an asset.

🛠️ Write Actions

Action Item Use Case
Upload Resource Upload a new image, video, or file to Cloudinary.
Delete Resource Permanently delete an image, video, or file from Cloudinary.
Transform Resource Apply transformations (resize, crop, watermark, etc.) to an asset and generate a new URL.
Create Usage Report Generate a report of account usage and quotas (e.g., storage, bandwidth, transformations).

🔍 Search Actions

Action Item Use Case
Find Resource by Public ID Retrieve details of an asset using its unique public ID.

📚 API Reference


🧪 Test Account Access

You can test Cloudinary APIs by creating a free account at Cloudinary and generating an API key and secret from your dashboard.


🧑‍💻 New to Activepieces?

Activepieces is the leading open source AI automation platform. We have many apps (we call them Pieces), that are available within the builder and as MCPs. These apps are built with our TypeScript framework and are easy to develop. Once merged into our repository, they become available as pieces in our automation builder and as MCPs usable by AI agents and MCP clients.

Start building here: Piece Development Docs

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