Access Cloudinary's Upload and Admin APIs to upload, manage, and search your digital assets with powerful media asset ma
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
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
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
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
webclaw
Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API
Google Workspace MCP
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search, and Drive with AI. Comprehensive Googl
Obsidian
Connect Obsidian vaults for natural language queries and secure note updates with seamless Obsidian integration.
Google Cloud Compute Engine
Explore MCP servers for Google Compute Engine. Integrate model context protocol solutions to streamline GCE app developm
Specif-ai
Specif-ai ensures secure web API access and robust error handling, making it a top choice among API security companies f
Cloudinary is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: Cloudinary is the kind of server we cite when onboarding engineers to host + tool permissions.
Cloudinary has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Cloudinary reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Cloudinary into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: Cloudinary is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Cloudinary against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend Cloudinary for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Cloudinary benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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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Claude Desktop configuration
{
"mcpServers": {
"cloudinary-mcp-server": {
"command": "npx",
"args": [
"-y",
"cloudinary-mcp-server"
],
"env": {
"CLOUDINARY_CLOUD_NAME": "\u003Ccloud name\u003E",
"CLOUDINARY_API_KEY": "\u003Capi-key\u003E",
"CLOUDINARY_API_SECRET": "\u003Capi-secret\u003E"
}
}
}
}Connects AI assistants to Cloudinary's cloud storage for uploading and managing images, videos, and other digital media assets.
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.
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.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.