cloudinary-mcp-server

by yoavniran
Verified

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Enables access to Cloudinary Upload & Admin API methods, allowing AI assistants to upload assets to Cloudinary and manage assets in a Cloudinary cloud instance.

Cloudinary MCP Server

A Model Context Protocol server that exposes Cloudinary Upload & Admin API methods as tools by AI assistants. This integration allows AI systems to trigger and interact with your Cloudinary cloud.

How It Works

The MCP server:

  • Makes calls on your behalf to the Cloudinary API
  • Enables uploading of assets to Cloudinary
  • Enables management of assets in your Cloudinary cloud

It relies on the Cloudinary API to perform these actions. Not all methods and parameters are supported. More will be added over time.

Open an issue with a request for specific method if you need it.

Benefits

  • Turn your Cloudinary cloud actions into callable tools for AI assistants
  • Turn your Cloudinary assets into data for AI assistants

Usage with Claude Desktop

Prerequisites

  • NodeJS
  • MCP Client (like Claude Desktop App)
  • Create & Copy Cloudinary API Key/Secret at: API KEYS

Installation

To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:

{ "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_CLOUD_NAME - your cloud name
  • CLOUDINARY_API_KEY - The API Key for your cloud
  • CLOUDINARY_API_SECRET - The API Secret for your cloud

Tools

The following tools are available:

  1. upload
    • Description: Upload a file (asset) to Cloudinary
    • Parameters:
      • source: URL, file path, base64 content, or binary data to upload
      • folder: Optional folder path in Cloudinary
      • publicId: Optional public ID for the uploaded asset
      • resourceType: Type of resource to upload (image, video, raw, auto)
      • tags: Comma-separated list of tags to assign to the asset
  2. delete-asset
    • Description: Delete a file (asset) from Cloudinary
    • Parameters:
      • publicId: The public ID of the asset to delete
      • assetId: The asset ID of the asset to delete
  3. get-asset
    • Description: Get the details of a specific file (asset)
    • Parameters:
      • assetId: The Cloudinary asset ID
      • publicId: The public ID of the asset
      • resourceType: Type of asset (image, raw, video)
      • type: Delivery type (upload, private, authenticated, etc.)
      • tags: Whether to include the list of tag names
      • context: Whether to include contextual metadata
      • metadata: Whether to include structured metadata
  4. find-assets
    • Description: Search for existing files (assets) in Cloudinary with a query expression
    • Parameters:
      • expression: Search expression (e.g. 'tags=cat' or 'public_id:folder/*')
      • resourceType: Resource type (image, video, raw)
      • maxResults: Maximum number of results (1-500)
      • nextCursor: Next cursor for pagination
      • tags: Include tags in the response
      • context: Include context in the response
  5. get-usage
    • Description: Get a report on the status of your product environment usage, including storage, credits, bandwidth, requests, number of resources, and add-on usage
    • Parameters:
      • date: Optional. The date for the usage report in the format: yyyy-mm-dd. Must be within the last 3 months. Default: the current date

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A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

A Model Context Protocol server that exposes Cloudinary Upload & Admin API methods as tools by AI assistants. This integration allows AI systems to trigger and interact with your Cloudinary cloud.

  1. How It Works
    1. Benefits
      1. Usage with Claude Desktop
        1. Prerequisites
        2. Installation
        3. Tools