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Cloudinary MCP Servers

Five Cloudinary servers split by job — assets, environment config, structured metadata, AI analysis on its own SSE endpoint, and MediaFlows automations.

by Cloudinary ↗Office Suites & Cloud File Storage✓ Official

LABSCO SUMMARY

Separate servers are more setup and less risk — configuration and assets are different blast radii.

Uploading an image and rewriting an account's transformation presets are not the same kind of action, and Cloudinary keeps them on different servers so a client can hold one and not the other. Connect asset management for day-to-day work; add environment config only when someone is deliberately changing configuration. The API-key exception on Analysis is the detail that will bite a headless setup — plan for OAuth there.

What it is

Cloudinary publishes five separate remote servers rather than one. Asset management is the main endpoint; configuration, metadata, analysis and MediaFlows automations each have their own address, and analysis runs over SSE.

What you get

  • Asset Management — upload, manage, search and transform images and video
  • Environment Config — upload presets, mappings, named transformations, webhooks, streaming profiles
  • Structured Metadata — metadata fields and rules
  • Analysis — AI tagging, moderation and object recognition, on a separate SSE endpoint
  • MediaFlows — build and manage automations that process and deliver images and video

Requirements

OAuth by default, or API key headers (cloudinary-url, or cloudinary-cloud-name, cloudinary-api-key and cloudinary-api-secret). Two exceptions matter: the Analysis server does not accept API keys, so that one is OAuth only; and MediaFlows doesn't use OAuth: it takes your cloud name, API key and secret in its own headers, cld-cloud-name, cld-api-key and cld-secret.

Setup effort

Paste a URL, then authorize — add the servers you want to your client, then approve the OAuth consent screen, or use API key headers; MediaFlows always takes your credentials in its own headers