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Cloudinary Official MCP Server

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Cloudinary cloud-based image and video management platform for media assets

What is Cloudinary?

Cloudinary is a cloud infrastructure and hosting platform that cloudinary cloud-based image and video management comprehensive platform for media assets. The official Cloudinary MCP server enables AI agents to seamlessly interact with Cloudinary's platform, allowing developers to leverage AI capabilities within their existing workflows and automate complex tasks that would otherwise require manual intervention.

This official MCP server is maintained and verified by Cloudinary, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on cloudinary.com, guaranteeing secure and reliable access to Cloudinary's services.

Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the Cloudinary MCP server provides a standardized way to connect AI agents with Cloudinary's extensive platform capabilities. This integration enables natural language interactions with Cloudinary, making it easier than ever to leverage Cloudinary's features through AI assistants like Claude, ChatGPT, and Cursor.

Installation Instructions

Installation Instructions
Add Cloudinary to your MCP-compatible client
https://asset-management.mcp.cloudinary.com/sse
Cursor logoCursor Instructions
1

Go to Settings → Cursor Settings

2

Click "Add new global MCP Server"

3

Paste the MCP configuration into mcp.json and restart

Install with Cursor

Or manually add to your mcp.json:

{ "mcpServers": { "cloudinary": { "url": "https://asset-management.mcp.cloudinary.com/sse" } } }

Cloudinary MCP Server Capabilities

The official Cloudinary MCP server enables AI agents to:

  • Manage cloud infrastructure and resources through AI commands
  • Deploy applications and services to cloud platforms
  • Monitor cloud resources and performance metrics
  • Automate scaling and resource allocation
  • Access cloud APIs and services programmatically

These capabilities make it easy for AI agents to work with Cloudinary as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.

Available Tools

The Cloudinary MCP server provides 10 tools for AI agents to interact with the platform. Use the search below to find specific tools.

Tool NameDescription
analyze_assetRun AI-powered analysis: auto-tagging, moderation, object detection, or accessibility
create_upload_presetCreate or manage upload presets for consistent upload behavior
delete_assetDelete one or more assets from your product environment
generate_transformation_urlGenerate transformed delivery URLs (resize, crop, effects) for images or video
get_assetRetrieve asset metadata and delivery URLs
list_assetsList and search assets with filtering by folder, tags, or type
list_foldersList folders in your Cloudinary product environment
manage_metadataDefine or update structured metadata fields and values on assets
update_assetUpdate asset tags, metadata, or other properties
upload_assetUpload images, videos, or raw files to Cloudinary with optional tags and folder

Last updated: January 29, 2026 at 12:00 PM

Common Use Cases

Automated Workflow Management

AI agents can use the Cloudinary MCP server to automate repetitive tasks and manage workflows within Cloudinary's platform.

Data Retrieval and Analysis

The MCP server allows AI agents to query and retrieve data from Cloudinary, enabling intelligent data analysis and insights.

Integration with Development Tools

Developers can integrate Cloudinary capabilities directly into their AI coding assistants for seamless workflows.

Frequently Asked Questions

How do I get a Cloudinary API key?

Visit https://cloudinary.com, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the Cloudinary MCP server.

Is this the official Cloudinary MCP server?

Yes, this MCP server is officially provided and maintained by Cloudinary. The endpoint https://asset-management.mcp.cloudinary.com/sse is hosted on their official domain cloudinary.com, ensuring reliability and security.

What permissions does Cloudinary MCP need?

The Cloudinary MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.

Can I use Cloudinary MCP with multiple clients?

Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.

Is Cloudinary MCP server free?

The MCP server itself is free to use, but you may need a Cloudinary account and API access, which may have its own pricing tiers. Check https://cloudinary.com for current pricing information.

What can Cloudinary MCP server do?

The Cloudinary MCP server enables AI agents to manage cloud infrastructure and deployments. Cloudinary cloud-based image and video management platform for media assets This allows you to interact with Cloudinary's platform through natural language commands in your AI assistant.

Troubleshooting

Connection Failed

Ensure your API key is correctly configured and your network allows outbound connections to cloudinary.com. Verify that the MCP endpoint URL https://asset-management.mcp.cloudinary.com/sse is accessible from your network.

Authentication Error

Verify your API key is valid and has not expired. Generate a new key from https://cloudinary.com if needed. Make sure you're using the correct authentication method as specified in the documentation.

Server Not Responding

Check Cloudinary's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.

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About Model Context Protocol

The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from Cloudinary provides standardized access to their services, allowing AI agents to interact with Cloudinary's platform seamlessly.

To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.

Learn more about MCP in our complete guide or browse our FAQ for common questions.

Server Information

Domain

cloudinary.com

MCP Endpoint

https://asset-management.mcp.cloudinary.com/sse