Cloudinary MCP Servers

MCP server by Cloudinary

OfficialRemote and local
Official pageGitHub repo

Cloudinary MCP Servers at a glance

Cloudinary MCP Servers is an official MCP server from Cloudinary. It lets an AI assistant upload, search, tag, transform and analyze images and videos in Cloudinary.

Connects to
Files and storage
Hosting
Remote and local · Streamable HTTP, SSE and stdio
Sign-in
OAuth or API key
Price
Free (needs a Cloudinary account)
Works with
Claude, Claude Code, Cursor, VS Code, Windsurf, Gemini CLI
Best for
Teams managing images and video at scale
Checked
October 3, 2026 on official sources

How to install Cloudinary MCP Servers

Add the URL below as a new MCP server in your AI app’s settings or MCP config file, then sign in when asked. Sign-in: OAuth or API key.

Remote server URL
https://asset-management.mcp.cloudinary.com/mcp

What Cloudinary MCP Servers can do

Cloudinary offers five MCP servers for asset management, environment config, metadata, AI analysis and MediaFlows. They run hosted or locally through npm or Docker.

Tools it exposes include
Upload assetsSearch and list assetsManage folders and tagstransform-assetget-tx-referenceAI content analysis

Best for: teams managing images and video at scale

Pros

  • Hosted and local options
  • OAuth by default on remote
  • Separate servers keep tool lists small

Cons

  • Some AI features need a paid plan
  • Five servers to set up for full coverage

Cloudinary MCP Servers FAQ

Is Cloudinary MCP Servers free?

The servers are free to use but need a Cloudinary account and some features require a paid plan.

How do I connect Cloudinary MCP Servers?

Add https://asset-management.mcp.cloudinary.com/mcp as a remote server or run npx -y –package @cloudinary/asset-management-mcp — mcp start.

What can Cloudinary MCP Servers do?

They can upload, organize, search and transform media, manage metadata and presets and run AI analysis and moderation.