Ask AI
AI Power Start
Last updated: Jul-28-2026
Copy the Get Started prompt from this page to configure Cloudinary in your active project. The prompts work with Cursor, Claude, Antigravity, GitHub Copilot, and other AI coding assistants.
As you explore this page, you'll learn what the setup prompt installs, what each tool provides, and which recommended tools can further enhance your workflow.
After you run the setup prompt in your IDE, your AI coding assistant will suggest next steps, including prompts for adding Cloudinary image and video features to your project. You can follow those suggestions or return to this page for additional prompts.
The Get Started prompt
Open your new or existing project in any AI-powered IDE, then copy and paste the prompt:
What happens after you paste it
The following five stages run in order. Your agent pauses for confirmation at each gate. Nothing runs without your approval. Anything already set up in your project or globally in your IDE is skipped.
AI tooling
Installs Cloudinary MCP servers and agentic skills in your IDE.
Framework detection
Confirms your detected stack and how you deliver media.
SDK & environment
Installs the right SDK and helps you set up your .env.
Credentials
Walks you through adding your keys safely.
Verification
Validates your setup with an upload preset, transformation, and optimization check.
Get the most from your AI coding assistant
The Get Started prompt configures your AI coding assistant to work with Cloudinary by setting up MCP servers and agentic skills. Here's what gets set up for you, along with additional tools and tips to help you get the most out of it.
MCP servers
✓ Configured for youYour AI coding assistant interacts with Cloudinary via MCP servers. Ask it to upload and organize assets, create reusable transformations, and more.
@cloudinary/asset-management
@cloudinary/environment-config
You may need to restart your IDE and start the MCP servers. If you're not sure, ask your AI assistant.
MCP servers docs →Agentic Skills
✓ Installed for youYour AI coding assistant uses Cloudinary skills for accurate coding and guidance. Basic skills include:
/cloudinary-transformations helps build and troubleshoot delivery URLs.
/cloudinary-docs answers questions using the Cloudinary documentation.
VS Code extension
RecommendedInstall the extension in VSCode, Cursor, or any other VS Code-based IDE to browse, upload, preview, and grab Cloudinary image and video URLs or public IDs without leaving your editor.
To install: Open the Extensions panel, search for Cloudinary, and select Install. Your Media Library appears in the sidebar.
Extension docs →Keep prompting
Try it nowWith the MCP servers and skills available, describe what you want in plain language. Your AI coding assistant can work with your Cloudinary assets and generate the code you need.
"Create an optimized gallery on this page using Cloudinary images."
More example prompts →
For the full guide, see Cloudinary AI agent tools and MCP servers.
Keep prompting
The Get Started prompt ends with a few example prompts to help you build common Cloudinary features. If you're looking for more, copy one of these prompts and paste it into your AI coding assistant.
If you don't run the Get Started prompt, make sure your project is configured with a Cloudinary SDK and your Cloudinary credentials, for example in a local .env file. Never expose API secrets in client-side code.
Social sizes for every channel
One source image, every aspect ratio. Smart-crop with g_auto keeps the subject centered for feeds, stories, and thumbnails.
A consistent product catalog
Automatically normalize size, background, and format across every product shot on delivery.
Let your users upload
The Upload widget handles file uploads, moderation, and more. Use it in your app to accept media from anyone.
Fast galleries, automatically
f_auto and q_auto pick the best format and quality per device, every time.
Transform and deliver video
Same pipeline as images. Resize, optimize, and stream adaptive video from a single source file.
Dive deeper
- AI agent tools and MCP servers: Full guide to available agentic tools for using Cloudinary with LLMs and AI assistants.
- SDKs for every stack: Server and front-end libraries for your language.
- Transformation reference: Every parameter for building delivery URLs.
- Generative AI transformations: Fill, remove, recolor, and extend with a prompt.
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