A Cursor plugin that brings Cloudinary's media management capabilities directly into your coding workflow. It connects your AI coding agent to Cloudinary's MCP servers and provides a documentation skill so you can get accurate, up-to-date answers about Cloudinary APIs without leaving your editor.
Five Cloudinary MCP servers are pre-configured:
| Server | Description |
|---|---|
cloudinary-asset-mgmt |
Upload, manage, and transform media assets |
cloudinary-env-config |
Configure your Cloudinary environment settings |
cloudinary-smd |
Work with structured metadata on assets |
cloudinary-analysis |
Analyze images and videos with AI |
cloudinary-mediaflows |
Build and run automated media workflows |
Note: The
cloudinary-mediaflowsserver requires your Cloudinary credentials (cloud_name,api_key,api_secret) to be set in the headers.
The cloudinary-docs skill teaches the agent how to answer Cloudinary questions by fetching live documentation directly from cloudinary.com/documentation/llms.txt. This ensures answers are accurate and include real code examples, rather than relying on potentially outdated training data.
- Install this plugin in Cursor.
- Add your Cloudinary credentials to the
cloudinary-mediaflowsserver headers inmcp.json. - Ask your agent anything about Cloudinary — uploads, transformations, metadata, analysis, and more.