Cloudinary Asset Management MCP Server

Summary

Table of Contents

• Cloudinary Asset Management MCP Server
  • Installation
  • Configuration
  • Authentication
  • Available Tools
  • Custom Tools
• Development
  • Building from Source
  • Contributions
  • Progressive Discovery

Installation

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. Once installed, the server will be available without additional setup.

[!NOTE] MCP bundles provide a streamlined way to package and distribute MCP servers. Learn more about Desktop Extensions.

Cursor

Or manually:

1. Open Cursor Settings
2. Select Tools and Integrations
3. Select New MCP Server
4. If the configuration file is empty paste the following JSON into the MCP Server Configuration:

{
  "command": "npx",
  "args": [
    "@cloudinary/asset-management-mcp",
    "start",
    "--api-key",
    "",
    "--api-secret",
    "",
    "--cloud-name",
    ""
  ]
}

Claude Code CLI

claude mcp add CloudinaryAssetMgmt -- npx -y @cloudinary/asset-management-mcp start --api-key  --api-secret  --cloud-name 

Gemini

gemini mcp add CloudinaryAssetMgmt -- npx -y @cloudinary/asset-management-mcp start --api-key  --api-secret  --cloud-name 

Windsurf

Refer to Official Windsurf documentation for latest information

1. Open Windsurf Settings
2. Select Cascade on left side menu
3. Click on Manage MCPs. (To Manage MCPs you should be signed in with a Windsurf Account)
4. Click on View raw config to open up the mcp configuration file.
5. If the configuration file is empty paste the full json

{
  "command": "npx",
  "args": [
    "@cloudinary/asset-management-mcp",
    "start",
    "--api-key",
    "",
    "--api-secret",
    "",
    "--cloud-name",
    ""
  ]
}

VS Code

Or manually:

Refer to Official VS Code documentation for latest information

1. Open Command Palette
2. Search and open MCP: Open User Configuration. This should open mcp.json file
3. If the configuration file is empty paste the full json

{
  "command": "npx",
  "args": [
    "@cloudinary/asset-management-mcp",
    "start",
    "--api-key",
    "",
    "--api-secret",
    "",
    "--cloud-name",
    ""
  ]
}

Stdio installation via npm

To start the MCP server, run:

npx @cloudinary/asset-management-mcp start --api-key  --api-secret  --cloud-name 

For a full list of server arguments, run:

npx @cloudinary/asset-management-mcp --help

Configuration

Environment Variables

The MCP server supports the following environment variables:

Variable	Description	Required
CLOUDINARY_CLOUD_NAME	Your Cloudinary cloud name	Yes
CLOUDINARY_API_KEY	Your Cloudinary API key	Yes
CLOUDINARY_API_SECRET	Your Cloudinary API secret	Yes
CLOUDINARY_URL	Complete Cloudinary URL (alternative to individual vars)	No
CLOUDINARY_COLLECT_HEADERS	Collect API response headers (see below)	No

CLOUDINARY_URL Format

You can use a single CLOUDINARY_URL instead of individual variables:

CLOUDINARY_URL=cloudinary://API_KEY:API_SECRET@CLOUD_NAME

Response Header Collection

You can configure the server to include Cloudinary API response headers (such as x-request-id and rate limit info) in tool output. This is useful for debugging and monitoring.

Set CLOUDINARY_COLLECT_HEADERS to control which headers are collected:

# Collect all response headers
CLOUDINARY_COLLECT_HEADERS=true

# Collect specific headers by exact name (comma-separated)
CLOUDINARY_COLLECT_HEADERS=x-request-id,x-featureratelimit-limit,x-featureratelimit-remaining

# Mix exact names, prefix matching, and regex matching
CLOUDINARY_COLLECT_HEADERS=x-request-id,prefix:x-featureratelimit-

Header matching specs

Each entry in the comma-separated list is matched against response header names:

Format	Example	Behaviour
exact name	x-request-id	matches only x-request-id
prefix:<value>	prefix:x-featureratelimit-	matches any header starting with x-featureratelimit-
regex:<pattern>	regex:ratelimit	matches any header whose name contains ratelimit

You can also set this via the CLOUDINARY_URL query parameter:

CLOUDINARY_URL=cloudinary://API_KEY:API_SECRET@CLOUD_NAME?collect_headers=true

When enabled, collected headers appear in an _headers field in the tool response. When not set, no headers are collected and responses are unchanged.

Authentication

The MCP server uses your Cloudinary API key and secret for authentication:

{
  "env": {
    "CLOUDINARY_CLOUD_NAME": "demo",
    "CLOUDINARY_API_KEY": "123456789012345",
    "CLOUDINARY_API_SECRET": "abcdefghijklmnopqrstuvwxyz12"
  }
}

Available Tools

The MCP server exposes Cloudinary's Asset Management API as tools. Use your AI application to discover and invoke the available tools for uploading, managing, searching, and transforming your media assets.

Usage Examples

Example 1: Upload and Transform an Image

1. Upload a local image: "Upload file:///Users/me/photo.jpg to Cloudinary as 'hero-image'"
2. Transform it: "Transform asset 'hero-image' with transformations 'c_fill,w_800,h_600/e_sharpen'"
3. Get details: "Show me details for asset with ID [asset-id]"

Example 2: Search and Organize Assets

1. Search for images: "Find all images with tag 'product' uploaded in the last 7 days"
2. Create folder: "Create a new folder called 'summer-2024-products'"
3. List assets: "Show me all video assets in the 'marketing' folder"

Example 3: Generate Archive

1. Get transformation docs: "Show me the Cloudinary transformation reference"
2. Apply transformations: "Transform 'banner' asset with 'c_scale,w_1200/f_auto,q_auto'"
3. Create archive: "Generate a ZIP archive of all images with tag 'export-ready'"

Example 4: Asset Management Workflow

1. Upload multiple files: "Upload all images from folder /assets/new-products/"
2. Add tags: "Update asset [asset-id] and add tags 'featured,homepage'"
3. Get usage stats: "Show my Cloudinary account usage statistics"

Custom Tools

This MCP server includes two powerful custom tools:

get-tx-reference

Retrieves the complete Cloudinary transformation reference documentation.

When to use:

• Before creating or modifying transformations
• When user asks about image/video effects, resizing, cropping, filters

Example:

Use get-tx-reference to learn about available transformations

transform-asset

Applies transformations to existing assets using Cloudinary's explicit API.

Parameters:

• publicId - The asset's public ID
• transformations - Transformation string (e.g., c_fill,w_300,h_200)
• resourceType - Type: image, video, or raw (default: image)
• invalidate - Invalidate CDN cache (default: false)

Example:

Transform asset "sample" with transformations "c_fill,w_500,h_500/e_sepia"

Development

Building from Source

Prerequisites

• Node.js v20 or higher
• npm, pnpm, bun, or yarn

Build Steps

# Clone the repository
git clone https://github.com/cloudinary/asset-management-mcp.git
cd asset-management-mcp

# Install dependencies
npm install

# Build the project
npm run build

# Run locally
npm start

Project Structure

asset-management-mcp/
├── src/
│   ├── hooks/              # SDK hooks (manual)
│   │   ├── cloudinaryAuthHook.ts   # Auth & file:// handling
│   │   ├── customHeadersHook.ts    # Inject custom request headers
│   │   ├── responseHeadersHook.ts  # Collect response headers
│   │   ├── userAgentHook.ts        # Build User-Agent string
│   │   └── registration.ts         # Hook registration
│   ├── mcp-server/         # MCP server implementation
│   │   ├── server.ts       # Main server (auto-generated)
│   │   ├── server.extensions.ts  # Custom tools (manual)
│   │   └── tools/          # Generated tool wrappers
│   ├── funcs/              # API function implementations
│   └── models/             # Type definitions
├── .github/
│   └── workflows/          # CI/CD workflows
└── .speakeasy/             # Speakeasy configuration

Contributions

While we value contributions to this MCP Server, the code is generated programmatically. Any manual changes to generated files will be overwritten on the next generation.

What you can contribute:

• ✅ Custom tools in server.extensions.ts
• ✅ Custom hooks in src/hooks/
• ✅ Documentation improvements
• ✅ Bug reports and feature requests

Generated files (do not edit):

• ❌ src/mcp-server/server.ts
• ❌ src/mcp-server/tools/*.ts
• ❌ src/funcs/*.ts
• ❌ src/models/*.ts

We look forward to hearing your feedback. Feel free to open a PR or issue with a proof of concept and we'll do our best to include it in a future release.

---

MCP Server Created by Speakeasy

Progressive Discovery

MCP servers with many tools can bloat LLM context windows, leading to increased token usage and tool confusion. Dynamic mode solves this by exposing only a small set of meta-tools that let agents progressively discover and invoke tools on demand.

To enable dynamic mode, pass the --mode dynamic flag when starting your server:

{
  "mcpServers": {
    "CloudinaryAssetMgmt": {
      "command": "npx",
      "args": ["@cloudinary/asset-management-mcp", "start", "--mode", "dynamic"],
      // ... other server arguments
    }
  }
}

In dynamic mode, the server registers only the following meta-tools instead of every individual tool:

• list_tools: Lists all available tools with their names and descriptions.
• describe_tool: Returns the input schema for one or more tools by name.
• execute_tool: Executes a tool by name with the provided input parameters.
• list_scopes: Lists the scopes available on the server.

This approach significantly reduces the number of tokens sent to the LLM on each request, which is especially useful for servers with a large number of tools.

You can combine dynamic mode with scope and tool filters:

{
  "mcpServers": {
    "CloudinaryAssetMgmt": {
      "command": "npx",
      "args": ["@cloudinary/asset-management-mcp", "start", "--mode", "dynamic", "--scope", "admin"],
      // ... other server arguments
    }
  }
}