Cloudinary Analysis

com.cloudinary/analysis-mcp

Run AI-powered analysis on images including moderation, captioning, tagging, and more.

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Connect this server

Add this to your MCP client config — claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor).Suits: Claude Desktop · Cursor.

{
  "mcpServers": {
    "analysis-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cloudinary/analysis-mcp@0.5.3"
      ],
      "env": {
        "CLOUDINARY_CLOUD_NAME": "<your CLOUDINARY_CLOUD_NAME>",
        "CLOUDINARY_API_KEY": "<your CLOUDINARY_API_KEY>",
        "CLOUDINARY_API_SECRET": "<your CLOUDINARY_API_SECRET>"
      }
    }
  }
}
Environment variables
  • CLOUDINARY_CLOUD_NAMErequiredYour Cloudinary cloud name. Find it in your Cloudinary Dashboard.
  • CLOUDINARY_API_KEYrequiredYour Cloudinary API key. Found in Dashboard > Settings > Access Keys.
  • CLOUDINARY_API_SECRETrequiredsecretYour Cloudinary API secret. Found in Dashboard > Settings > Access Keys.

A starting point — check the repository for exact arguments and setup. Restart your client after editing the config.

Category
Media & Creative
Version
0.5.3
Registry
active
Published
11/12/2026

On GitHub

read Nov 13, 2026
Stars
0
Forks
1
Last push
Nov 12, 2026
License
MIT

TypeScript

From the README

Cloudinary Analysis MCP Server Summary Analyze API (Beta): Use the Analyze API to analyze any external asset and return details based on the type of analysis requested. Currently supports the following analysis options: • AI Vision - Tagging • AI Vision - Moderation • AI Vision - General • Captioning • Cld Fashion • Cld Text • Coco • Google Tagging • Human Anatomy • Image Quality Analysis • Lvis • Shop Classifier • Unidet • Watermark Detection Notes: • The Analyze API is currently in development and is available as a Public Beta, which means we value your feedback, so please feel free to share any thoughts with us. • The analysis options require an active subscription to the relevant add-on. Learn more about registering for add-ons. The API supports both Basic Authentication using your Cloudinary API Key and API Secret (which can be found on the Dashboard page of your Cloudinary Console) or OAuth2 (Contact support for more information regarding OAuth). Table of Contents • Cloudinary Analysis MCP Server • Installation • Progressive Discovery • Configuration • Authentication • Development • Building from Source • Contributions Installation The MCP server requires Node.js 20.19.0 or later. Claude Desktop Install the MCP server as a Desktop Extension using the pre-built mcp-server.mcpb file: Simply drag and drop the mcp-server.mcpb file onto Claude Desktop to install the extension. The MCP bundle package includes the MCP server and all necessary configuration.…

Read the full README on GitHub →

Remotes

  • streamable-httphttps://analysis.mcp.cloudinary.com/mcp

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