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cloudinary-init

v0.1.1

Published

One command to connect Cloudinary MCP servers and skills to your AI coding environment (demo by @ryaron)

Vulnerabilities

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Links

Git

Maintainers

ryaronryaron

Keywords

cloudinarymcpaiagentcursorclaudesetupinit

Readme

@cloudinary/init

One command to connect Cloudinary to your AI coding environment.

npx @cloudinary/init

Or with your credentials pre-set:

CLOUDINARY_URL=cloudinary://api_key:api_secret@cloud_name npx @cloudinary/init

What it does

  1. Credentials — reads your CLOUDINARY_URL from the environment, or prompts you to paste it. No CLOUDINARY_URL? Press Enter to use OAuth (browser-based) instead.
  2. IDE detection — finds Cursor, Claude Code, Claude Desktop, VS Code, and Windsurf automatically.
  3. MCP configuration — writes all four Cloudinary MCP servers into the config file of every detected IDE.
  4. Skills installation — runs npx skills add cloudinary-devs/skills to install doc, transformation, and React skills.
  5. Quick start guide — creates CLOUDINARY_QUICKSTART.md in your current directory with your first 3 agent prompts.

Supported IDEs

| IDE | Config file written | |-----|-------------------| | Cursor | ~/.cursor/mcp.json | | Windsurf | ~/.codeium/windsurf/mcp_config.json | | Claude Desktop | ~/Library/Application Support/Claude/claude_desktop_config.json | | VS Code (workspace) | .vscode/mcp.json in current directory | | Claude Code | claude mcp add CLI commands |

MCP servers configured

| Server | Capability | |--------|-----------| | cloudinary-asset-mgmt | Upload, search, organize, transform assets | | cloudinary-env-config | Upload presets, named transformations, webhooks | | cloudinary-smd | Structured metadata fields and values | | cloudinary-analysis | AI tagging, moderation, object detection (OAuth only) |

Authentication

API key (recommended for agents): Paste your CLOUDINARY_URL from Console Settings → API Keys. Format: cloudinary://api_key:api_secret@cloud_name.

OAuth: Leave the URL blank. After setup, open your IDE and click "Connect" next to any Cloudinary MCP server to authenticate via browser.

Note: cloudinary-analysis requires OAuth regardless of auth method.

Requirements

What to do after setup

Open your AI agent and try:

  1. "Upload this image to my Cloudinary cloud: https://res.cloudinary.com/demo/image/upload/sample.jpg"
  2. "Give me an optimized delivery URL for the sample image using f_auto and q_auto"
  3. "Search my assets and list the 5 most recent uploads"

See CLOUDINARY_QUICKSTART.md in your project for a full first-use guide.