Cloudinary MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Cloudinary through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"cloudinary": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Cloudinary Agent",
instructions:
"You help users interact with Cloudinary " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Cloudinary?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Cloudinary MCP Server
Connect your Cloudinary account to any AI agent and take full control of your media library through natural conversation. Streamline how you manage, optimize, and distribute images and videos natively.
Mastra's agent abstraction provides a clean separation between LLM logic and Cloudinary tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Resource Oversight — List and retrieve details for all media resources including public IDs, formats, and secure URLs natively
- Usage Intelligence — Access core usage and quota reports for storage, bandwidth, and transformations flawlessly
- Asset Logistics — Monitor tags, folders, and transformations used across your media library securely
- Search Management — Perform advanced searches using complex expressions to find specific assets instantly flawlessly
- Automation Logistics — List configured upload presets to ensure consistent asset ingestion flawlessly
- Content Control — Permanently delete unwanted media resources directly from your chat interface flawlessly
The Cloudinary MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Cloudinary to Mastra AI via MCP
Follow these steps to integrate the Cloudinary MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Cloudinary via MCP
Why Use Mastra AI with the Cloudinary MCP Server
Mastra AI provides unique advantages when paired with Cloudinary through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Cloudinary without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Cloudinary tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Cloudinary + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Cloudinary MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Cloudinary, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Cloudinary as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Cloudinary on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Cloudinary tools alongside other MCP servers
Cloudinary MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Cloudinary to Mastra AI via MCP:
delete_media_resource
Permanently delete a media resource from the cloud
get_cloudinary_usage_report
Retrieve core usage and quota information (Storage, Bandwidth, Transformations)
get_media_resource_details
Get detailed information for a specific media resource
list_media_resources
List all media resources (images, videos) in the cloud
list_media_tags
List all tags used in the media library
list_media_transformations
List all named and dynamic transformations
list_upload_presets
List all configured upload presets
search_media_library
Search for resources using a search expression
Example Prompts for Cloudinary in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Cloudinary immediately.
"List all images in my Cloudinary library."
"What is my current Cloudinary storage usage?"
"Search for all MP4 videos uploaded in the last 24 hours."
Troubleshooting Cloudinary MCP Server with Mastra AI
Common issues when connecting Cloudinary to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCloudinary + Mastra AI FAQ
Common questions about integrating Cloudinary MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Cloudinary with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cloudinary to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.