cloudinary.com
MCP Servers for AI Agent Integration
Cloudinary Asset Management MCP
Image and video asset management, upload, and organization
Upload, organize, and manage image and video assets. Search media libraries, manage folders and tags, and handle asset transformations and delivery configurations.
https://asset-management.mcp.cloudinary.com/sseCloudinary Environment Config MCP
Cloudinary environment configuration management
Configure Cloudinary environment settings including upload presets, transformation profiles, and delivery configurations. Manage account-level settings and access credentials.
https://environment-config.mcp.cloudinary.com/sseCloudinary Analysis MCP
AI-powered image and video analysis
Analyze images and videos using AI to detect objects, faces, colors, and content quality. Extract tags, categorize media, and perform visual content moderation.
https://analysis.mcp.cloudinary.com/sseCloudinary Structured Metadata MCP
Structured metadata management for media assets
Define and manage structured metadata schemas for media assets. Create custom metadata fields, apply metadata to assets, and query assets by metadata values.
https://structured-metadata.mcp.cloudinary.com/sseCloudinary MediaFlows MCP
Media workflow automation and processing pipelines
Build and manage automated media processing pipelines. Configure transformation chains, set up webhook triggers, and orchestrate multi-step media workflows.
https://mediaflows.mcp.cloudinary.com/v2/mcpWhat is MCP?
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources. Remote MCP servers allow AI agents to interact with services like cloudinary.com through a standardized interface.