Cloudinary
by yoavniran
Access Cloudinary's Upload and Admin APIs to upload, manage, and search your digital assets with powerful media asset ma
What it does
Connects AI assistants to Cloudinary's cloud storage for uploading and managing images, videos, and other digital media assets.
About
Cloudinary is a community-built MCP server published by yoavniran that provides AI assistants with tools and capabilities via the Model Context Protocol. Access Cloudinary's Upload and Admin APIs to upload, manage, and search your digital assets with powerful media asset ma It is categorized under cloud infrastructure, productivity.
How to install
You can install Cloudinary in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
MIT
Cloudinary is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the Cloudinary MCP server?
- Cloudinary is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Cloudinary?
- This profile displays 36 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.5★★★★★36 reviews- ★★★★★Arjun Taylor· Dec 20, 2024
Cloudinary is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ganesh Mohane· Dec 12, 2024
Useful MCP listing: Cloudinary is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Charlotte Chen· Dec 4, 2024
Cloudinary has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ishan Bhatia· Nov 23, 2024
Cloudinary reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Arjun Sethi· Nov 11, 2024
We wired Cloudinary into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ira Rahman· Nov 3, 2024
Useful MCP listing: Cloudinary is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Zara Gonzalez· Oct 22, 2024
We evaluated Cloudinary against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ishan Harris· Oct 14, 2024
I recommend Cloudinary for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Noah Bhatia· Oct 2, 2024
According to our notes, Cloudinary benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Henry Okafor· Sep 21, 2024
Cloudinary is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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# Cloudinary MCP Server
