A coding agent 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 |
Auth: The first four servers use OAuth2 — you'll be prompted to log in with your Cloudinary account on first use via Cursor or Claude. The
cloudinary-mediaflowsserver requires your Cloudinary credentials (cloud_name,api_key,api_secret) to be set in the headers inmcp.json.
Two skills are included to give the agent deep Cloudinary knowledge:
| Skill | Directory | Description |
|---|---|---|
| cloudinary-docs | skills/cloudinary-docs/ | Answers Cloudinary questions by fetching live documentation from cloudinary.com/documentation/llms.txt, ensuring accurate and up-to-date responses with real code examples. |
| cloudinary-transformations | skills/cloudinary-transformations/ | Creates and debugs Cloudinary transformation URLs from natural language. Covers resize/crop, generative AI effects, video transformations, overlays, named transformations, and cost optimization — with a built-in validation checklist and debugging guide. |
- Install this plugin in Cursor/Claude Code.
- On first use, approve the OAuth login prompt for the MCP servers. For
cloudinary-mediaflows, add your credentials to its headers inmcp.json. - Ask your agent anything about Cloudinary — uploads, transformations, metadata, analysis, and more. The agent will automatically use the right skill and MCP server for the job.