Cloudinary MCP Server

@yoavniran

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

yoavniran

投稿者

Yoav Niran

Cloudinary MCP Server について

Model Context Protocol (MCP) Server for Cloudinary API

#cloudinary#mcp-server #ai-integration

Cloudinary MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cloudinary-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "cloudinary-mcp-server"
      ],
      "env": {
        "CLOUDINARY_CLOUD_NAME": "<cloud name>",
        "CLOUDINARY_API_KEY": "<api-key>",
        "CLOUDINARY_API_SECRET": "<api-secret>"
      }
    }
  }
}

Cloudinary MCP Server のツール

Upload a file (asset) to Cloudinary

Delete a file (asset) from Cloudinary

Get the details of a specific file (asset)

Search for existing files (assets) in Cloudinary with a query expression

Get a report on the status of your product environment usage, including storage, credits, bandwidth, requests, number of resources, and add-on usage

概要

What is Cloudinary MCP Server?

Cloudinary MCP Server is a Model Context Protocol server that exposes Cloudinary Upload and Admin API methods as callable tools for AI assistants. It enables AI systems to upload and manage assets in a Cloudinary cloud on behalf of the user.

How to use Cloudinary MCP Server?

Install and configure by adding an entry to your MCP client’s configuration (e.g., claude_desktop_config.json) with the command npx -y cloudinary-mcp-server and environment variables CLOUDINARY_CLOUD_NAME, CLOUDINARY_API_KEY, and CLOUDINARY_API_SECRET. The server provides five tools: upload, delete-asset, get-asset, find-assets, and get-usage.

Key features of Cloudinary MCP Server

Upload assets to Cloudinary via URL, file, or base64
Delete assets by public ID or asset ID
Retrieve detailed asset information including metadata
Search assets with query expressions and pagination
View Cloudinary usage report (storage, credits, bandwidth, etc.)

Use cases of Cloudinary MCP Server

AI assistants uploading images or videos to a Cloudinary cloud
Searching and retrieving existing assets by tags or folder paths
Deleting unwanted or expired assets through natural language commands
Checking Cloudinary usage and account limits programmatically

よくある質問

What prerequisites are needed to run this server?

Node.js and an MCP client (such as the Claude Desktop App) are required. You also need a Cloudinary API key and secret, which you can create in the Cloudinary console.

How does the server authenticate with Cloudinary?

Authentication is handled via three environment variables: `CLOUDINARY_CLOUD_NAME`, `CLOUDINARY_API_KEY`, and `CLOUDINARY_API_SECRET`. These are passed in the MCP client configuration.

What data does the server access?

The server interacts with your Cloudinary cloud using the Cloudinary Admin API. All asset uploads and management actions occur within your own Cloudinary account.

Are all Cloudinary API methods supported?

No, only a subset of Upload and Admin API methods are currently available (upload, delete-asset, get-asset, find-assets, get-usage). More methods will be added over time. You can request new methods by opening an issue on the GitHub repository.

How is the server installed and run?

The server is installed and run automatically via `npx` (no global install needed). It communicates with the MCP client over stdio. No additional server runtime is required beyond Node.js.

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