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Cloudinary MCP Server

by yoavniran

The Cloudinary MCP Server exposes Cloudinary Upload & Admin API methods as tools for AI assistants. This integration allows AI systems to trigger and interact with your Cloudinary cloud.

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What is Cloudinary MCP Server?

The Cloudinary MCP server is a Model Context Protocol server that acts as a bridge between AI assistants and the Cloudinary platform. It allows AI systems to programmatically upload, manage, and retrieve assets stored in your Cloudinary cloud.

How to use Cloudinary MCP Server?

To use this server, you need to configure it within an MCP client like Claude Desktop. This involves providing your Cloudinary cloud name, API key, and API secret as environment variables. Once configured, the AI assistant can call the exposed tools to interact with your Cloudinary account.

Key features of Cloudinary MCP Server

  • Exposes Cloudinary API methods as AI tools

  • Enables AI-driven asset uploading and management

  • Supports various Cloudinary API actions

  • Integrates seamlessly with MCP clients

Use cases of Cloudinary MCP Server

  • Automated media uploading based on AI prompts

  • AI-powered asset organization and tagging

  • Content moderation workflows triggered by AI

  • Dynamic media delivery based on AI-generated content

FAQ from Cloudinary MCP Server

What is the Model Context Protocol (MCP)?

MCP is a protocol that allows AI assistants to interact with external services and tools.

What Cloudinary API methods are supported?

Currently, the server supports upload, delete-asset, get-asset, find-assets, and get-usage. More methods will be added over time based on user requests.

How do I request support for a specific Cloudinary API method?

You can open an issue on the GitHub repository with a request for the specific method you need.

What are the prerequisites for using this server?

You need NodeJS, an MCP client (like Claude Desktop App), and a Cloudinary account with API Key/Secret.

Where do I find my Cloudinary API Key and Secret?

You can find your API Key and Secret in the Cloudinary console under Settings -> API Keys.