CuratedMCP
OpenAI Agents SDK
Free

How to Install Cloudinary MCP in OpenAI Agents SDK

Official Cloudinary integration — upload, transform, optimise, and deliver media assets via AI

What Cloudinary MCP does

The official Cloudinary MCP server gives AI agents full access to your media management pipeline — upload, transform, optimise, and deliver images and videos through natural language commands. Features: - Upload images and videos from URLs or file paths - Apply transformations: resize, crop, format convert, quality optimise - Generate responsive image URLs for different breakpoints - AI-powered background removal and object detection - Manage asset folders and metadata - Search assets by tags, context, or visual similarity - Generate delivery URLs with on-the-fly transformations - Analyse image content and generate alt text Use cases: - "Upload this product image and generate responsive sizes for web" - "Remove the background from these 20 product photos" - "Convert all PNG files in folder /marketing to WebP at 80% quality" - "What's in this image?" (AI content analysis) Cloudinary serves 2 million developers and 10,000+ companies including Fiverr, TED, and The Guardian.

cloudinary
images
video
media
cdn

Installation steps

  1. 1Install: pip install openai-agents
  2. 2Copy the snippet below into your agent code
  3. 3Replace placeholder env values with your real keys
  4. 4Pass mcp_servers=[mcp_server] to your Agent()

Python snippet

Python snippetpython
from agents import Agent
from agents.mcp import MCPServerStdio

mcp_server = MCPServerStdio(
    command="npx",
    args=["-y", "cloudinary-mcp-server"],
    env={
        "CLOUDINARY_CLOUD_NAME": "your_cloud",
        "CLOUDINARY_API_KEY": "123456789012345",
        "CLOUDINARY_API_SECRET": "your_secret",
    },
)

agent = Agent(
    name="My Agent",
    model="gpt-4o",
    mcp_servers=[mcp_server],
)
Full server details GitHub Open Config Editor

Install in other clients

For maintainers

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