Cloudinary MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cloudinary through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Cloudinary Assistant",
instructions=(
"You help users interact with Cloudinary. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cloudinary"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 8 tools from Cloudinary through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Cloudinary, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Cloudinary MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Cloudinary
Why Use OpenAI Agents SDK with the Cloudinary MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cloudinary through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Cloudinary + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cloudinary MCP Server delivers measurable value.
Automated workflows: build agents that query Cloudinary, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Cloudinary, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cloudinary tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cloudinary to resolve tickets, look up records, and update statuses without human intervention
Cloudinary MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Cloudinary to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Cloudinary to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cloudinary + OpenAI Agents SDK FAQ
Common questions about integrating Cloudinary MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Cloudinary with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.