Cloudinary
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Interact with Cloudinary's media management platform using natural language.
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- Author
- cloudinary
- Transport
- SSE
- Categories
- Remote MCP, Cloud Service, Media, File Management, Other, API
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Option 2: CLOUDINARY_URL environment variable
export CLOUDINARY_URL="cloudinary://api_key:api_secret@cloud_name"
Pass credentials directly as arguments (see configuration examples above)
You can find your Cloudinary credentials in yourCloudinary Console Dashboardunder Settings > Security.
- Upload and manage media assets (images, videos, raw files)
- Search and organize assets with advanced filtering capabilities
- Handle asset operations and transformations
- Manage folders, tags, and asset relationships
- Generate archives and download links
- Configure upload presets and transformation settings
- Manage streaming profiles and webhook notifications
- Set up upload mappings
- Create and manage structured metadata fields
- Configure conditional metadata rules and validation
- Organize and search metadata configurations
- Handle metadata field relationships and ordering
- AI-powered content analysis including tagging, moderation, and captioning
- Object detection and recognition with multiple AI models
- Image quality analysis and watermark detection
- Content moderation and safety analysis
- Fashion, text, and anatomy detection capabilities
- Build and manage workflow automations using natural language
- Query existing PowerFlow automations in your environment
- Create conditional logic based on metadata, tags, and asset properties
- Automate asset moderation, approval, and notification workflows
- Debug and understand existing automation configurations
We're continuing to add more functionality to these MCP servers. If you'd like to leave feedback, file a bug or provide a feature request, please open an issue on this repository.
"Claude's response was interrupted..."
If you see this message, Claude likely hit its context-length limit and stopped mid-reply. This happens most often on servers that trigger many chained tool calls such as the asset management server with large asset listings.
To reduce the chance of running into this issue:
- Try to be specific, keep your queries concise.
- If a single request calls multiple tools, try to break it into several smaller tool calls to keep the responses short.
- Use filtering parameters to limit the scope of asset searches and listings.
Ensure your Cloudinary credentials are correctly configured and have the necessary permissions for the operations you're trying to perform.
Some features may require a paid Cloudinary plan. Ensure your Cloudinary account has the necessary subscription level for the features you intend to use, such as:
- Advanced AI analysis features
- High-volume API usage
- Advanced transformation capabilities
Licensed under the MIT License. See LICENSE file for details.
Cloudinary runs an official remote MCP server — connect over a hosted URL instead of installing this one locally.
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Option 2: CLOUDINARY_URL environment variable
export CLOUDINARY_URL="cloudinary://api_key:api_secret@cloud_name"
Pass credentials directly as arguments (see configuration examples above)
You can find your Cloudinary credentials in yourCloudinary Console Dashboardunder Settings > Security.
- Upload and manage media assets (images, videos, raw files)
- Search and organize assets with advanced filtering capabilities
- Handle asset operations and transformations
- Manage folders, tags, and asset relationships
- Generate archives and download links
- Configure upload presets and transformation settings
- Manage streaming profiles and webhook notifications
- Set up upload mappings
- Create and manage structured metadata fields
- Configure conditional metadata rules and validation
- Organize and search metadata configurations
- Handle metadata field relationships and ordering
- AI-powered content analysis including tagging, moderation, and captioning
- Object detection and recognition with multiple AI models
- Image quality analysis and watermark detection
- Content moderation and safety analysis
- Fashion, text, and anatomy detection capabilities
- Build and manage workflow automations using natural language
- Query existing PowerFlow automations in your environment
- Create conditional logic based on metadata, tags, and asset properties
- Automate asset moderation, approval, and notification workflows
- Debug and understand existing automation configurations
We're continuing to add more functionality to these MCP servers. If you'd like to leave feedback, file a bug or provide a feature request, please open an issue on this repository.
"Claude's response was interrupted..."
If you see this message, Claude likely hit its context-length limit and stopped mid-reply. This happens most often on servers that trigger many chained tool calls such as the asset management server with large asset listings.
To reduce the chance of running into this issue:
- Try to be specific, keep your queries concise.
- If a single request calls multiple tools, try to break it into several smaller tool calls to keep the responses short.
- Use filtering parameters to limit the scope of asset searches and listings.
Ensure your Cloudinary credentials are correctly configured and have the necessary permissions for the operations you're trying to perform.
Some features may require a paid Cloudinary plan. Ensure your Cloudinary account has the necessary subscription level for the features you intend to use, such as:
- Advanced AI analysis features
- High-volume API usage
- Advanced transformation capabilities
Licensed under the MIT License. See LICENSE file for details.
Cloudinary runs an official remote MCP server — connect over a hosted URL instead of installing this one locally.
Dacast MCP Live Stream Server connects your AI tools to Dacast’s live streaming and video hosting APIs, so you can create and manage live streams, playlists, thumbnails, and simulcasts using simple natural-language prompts.
34-tool MCP server for CutPro's v1 API — analyze videos, clip, render, and publish posts via AI clients like Claude, ChatGPT, and Cursor.
Render videos from JSON via the iLoveVideoEditor cloud API: motion-design templates, GPU effects, transitions, batch rendering, webhooks.
Generate memes using the ImgFlip API. Requires ImgFlip account credentials.
Generate 3D models from text or image. Browse 10K+ free 3D models. AI creative platform with API.
MCP server for the Pexels API — photo search, video search, and curated content
Search and retrieve royalty-free images and videos using the Pixabay API.
Generate images and videos from templates using the Placid.app API.
Generate, edit, and render videos, images, and audio from Claude, Cursor, ChatGPT and other AI tools via the Shotstack video editing API.
Turn any language model into a multimodal powerhouse that can generate images, music, videos and more on the fly. Rostro's tools are designed to be used by language models from the ground up, expanding capabilities with minimal context bloat.
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