Cloudinary Asset Management

io.github.cloudinaryPublished by GitHub account cloudinaryv0.11.6Updated Nov 5, 2026

Upload, generate, organize, search, and transform images, videos, and files with AI-powered tools.

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Overview

AI-generated overview

Cloudinary Asset Management lets an assistant upload, search, organize, transform and archive images, videos and files in a Cloudinary account.

What you can do
  • Upload images, videos and files to Cloudinary, including local files
  • Search and list assets by tag, folder, type and date, and create folders
  • Update assets and add tags to organize a media library
  • Transform assets with Cloudinary transformation strings and invalidate CDN cache
  • Generate ZIP archives of assets and read account usage statistics
  • Look up the transformation reference documentation before applying effects
When to use it
Useful when you keep media in Cloudinary and want an assistant to handle routine asset work: uploading new files, finding assets by tag or folder, applying resizing or effect transformations, and exporting batches as archives.
Requirements
Either the hosted remote endpoint or a local process via npx or Docker; Node.js 20.19.0 or later for the npm package. A Cloudinary cloud name plus API key and API secret, supplied as CLOUDINARY_CLOUD_NAME, CLOUDINARY_API_KEY and CLOUDINARY_API_SECRET, as CLOUDINARY_URL, or through the cloudinary-api-key, cloudinary-api-secret and cloudinary-cloud-name headers. OAuth is declared for the remote endpoint.
Before you install
The API key and secret grant access to your Cloudinary account; store them as secrets and avoid pasting them into shared config files. Tools can upload, tag, transform and delete or overwrite assets and invalidate CDN cache, so changes affect live media. Uploaded files and asset metadata are sent to Cloudinary's service.

Installation

In SourceWeft

  1. Open Cloudinary Asset Management in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.cloudinary%2Fasset-management-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "cloudinary-asset-management": {
      "type": "http",
      "url": "https://asset-management.mcp.cloudinary.com/mcp"
    }
  }
}

README

Cloudinary Asset Management MCP Server

Summary

Table of Contents

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. 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

[Install MCP Server]

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:
json
{  "command": "npx",  "args": [    "@cloudinary/asset-management-mcp",    "start",    "--api-key",    "",    "--api-secret",    "",    "--cloud-name",    ""  ]}
Claude Code CLI
bash
claude mcp add CloudinaryAssetMgmt -- npx -y @cloudinary/asset-management-mcp start --api-key  --api-secret  --cloud-name 
Gemini
bash
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
bash
{  "command": "npx",  "args": [    "@cloudinary/asset-management-mcp",    "start",    "--api-key",    "",    "--api-secret",    "",    "--cloud-name",    ""  ]}
VS Code

[Install in 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
bash
{  "command": "npx",  "args": [    "@cloudinary/asset-management-mcp",    "start",    "--api-key",    "",    "--api-secret",    "",    "--cloud-name",    ""  ]}
Stdio installation via npm To start the MCP server, run:
bash
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:

VariableDescriptionRequired
CLOUDINARY_CLOUD_NAMEYour Cloudinary cloud nameYes
CLOUDINARY_API_KEYYour Cloudinary API keyYes
CLOUDINARY_API_SECRETYour Cloudinary API secretYes
CLOUDINARY_URLComplete Cloudinary URL (alternative to individual vars)No
CLOUDINARY_COLLECT_HEADERSCollect API response headers (see below)No
CLOUDINARY_MCP_APPSOverride MCP Apps default (see MCP Apps)No

CLOUDINARY_URL Format

You can use a single CLOUDINARY_URL instead of individual variables:

bash
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:

bash
# Collect all response headersCLOUDINARY_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 matchingCLOUDINARY_COLLECT_HEADERS=x-request-id,prefix:x-featureratelimit-
Header matching specs

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

FormatExampleBehaviour
exact namex-request-idmatches only x-request-id
prefix:<value>prefix:x-featureratelimit-matches any header starting with x-featureratelimit-
regex:<pattern>regex:ratelimitmatches any header whose name contains ratelimit

You can also set this via the CLOUDINARY_URL query parameter:

bash
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.

MCP Apps

The server can expose interactive MCP UI Apps (spec-aligned with io.modelcontextprotocol/ui) that hosts can render alongside tool results — for example, an asset gallery for list results, a single-asset detail view, and an upload UI.

Apps are enabled by default. Use the --mcp-apps flag (available on both start and serve) or the CLOUDINARY_MCP_APPS environment variable to override this behaviour:

ValueEffect
unsetDefault — all apps enabled
bare --mcp-apps (no value), all, or trueEnable every app (same as default)
none or falseDisable every app (kill-switch)
comma-separated subset, e.g. asset-gallery,asset-detailsEnable only the listed apps

Available app names: asset-gallery, asset-details, asset-upload.

bash
# Disable all appsnpx @cloudinary/asset-management-mcp serve --mcp-apps none
# Enable only the gallerynpx @cloudinary/asset-management-mcp start --mcp-apps asset-gallery
# Disable via env varCLOUDINARY_MCP_APPS=none npx @cloudinary/asset-management-mcp start

Precedence: CLI flag > environment variable > built-in default.

Authentication

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

json
{  "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
yaml
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
yaml
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
yaml
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
yaml
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:

sh
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:

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

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:

jsonc
{  "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_input: Returns the input schema for one or more tools by name.
  • execute_tool: Executes a tool by name with its arguments.
  • 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:

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

Development

Building from Source

Prerequisites

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

Build Steps

bash
# Clone the repositorygit clone https://github.com/cloudinary/asset-management-mcp.gitcd asset-management-mcp
# Install dependenciesnpm install
# Build the projectnpm run build
# Run locallynpm start

Project Structure

ini
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 & app wiring (manual)│   │   ├── tools/                # Generated tool wrappers│   │   └── apps/                 # MCP UI Apps (manual)│   │       ├── config.ts             # App registry & --mcp-apps parsing│   │       ├── cli-flag.ts           # stricli flag definition│   │       ├── extensions.ts         # Resource-template registration│   │       ├── uri.ts                # App URI helpers / tool-name injection│   │       ├── tool-hooks.ts         # Per-tool app hooks│   │       ├── app-shared.ts         # Shared app utilities│   │       ├── asset-gallery-app.ts  # List results gallery UI│   │       ├── asset-details-app.ts  # Single-asset detail UI│   │       └── asset-upload-app.ts   # Upload UI│   ├── funcs/              # API function implementations│   └── models/             # Type definitions├── .github/│   └── workflows/          # CI/CD workflows└── .speakeasy/             # Speakeasy configuration

Contributions

While we value contributions to this MCP Server, most of the code is generated programmatically from the Cloudinary API spec. Any manual changes to generated files will be overwritten on the next generation — please direct your changes to the manual extension points below.

What you can contribute:

  • Custom tools and server wiring in src/mcp-server/server.extensions.ts
  • MCP UI Apps in src/mcp-server/apps/ (gallery, details, upload, and new apps)
  • SDK hooks in src/hooks/ (auth, custom headers, response headers, user agent)
  • Documentation improvements (this README, JSDoc on manual files)
  • 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

When touching generated files is unavoidable, prefer updating the upstream spec or Speakeasy configuration in .speakeasy/ so the change survives regeneration.

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

Source: README.md at commit ada9cd0

Tools

0
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Version history

3
  1. v0.11.6LatestNov 5, 2026
  2. v0.11.5Oct 23, 2026
  3. v0.8.1Sep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts