@Cloudinary
Basic information
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.
https://asset-management.mcp.cloudinary.com/sseclaude mcp add cloudinary --transport http https://asset-management.mcp.cloudinary.com/sseTool list not available yet
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Fetch the live tool list directly from this server's endpoint using the button above.
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.
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.
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.
Cloudinary exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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Read-only, source-backed AI model pricing, history, comparisons and cost calculations.
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