Cloudinary
@Cloudinary
About Cloudinary
Cloudinary helps teams upload, manage, transform, deliver, and analyze image and video assets. Its MCP connector brings media-asset context into assistant workflows for working with visual content without leaving the connected Cloudinary environment.
Connection details
https://asset-management.mcp.cloudinary.com/sseSetup
claude mcp add cloudinary --transport http https://asset-management.mcp.cloudinary.com/sseTools
No tools detected
Fetch the live tool list directly from this server's endpoint using the button above.
Frequently asked questions
What is the Cloudinary remote MCP server?
The Cloudinary remote MCP server is a hosted Model Context Protocol endpoint at https://asset-management.mcp.cloudinary.com/sse, so AI assistants can connect to it without installing or running anything locally.
How do I connect to the Cloudinary MCP server?
Add the endpoint https://asset-management.mcp.cloudinary.com/sse to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Does the Cloudinary MCP server require authentication?
Yes. Cloudinary uses OAuth: the first time you connect, your MCP client opens a browser window to sign in and authorize access, then reuses the credentials for future sessions.
Which transport does the Cloudinary MCP server use?
Cloudinary exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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