What happens when I purge an asset in imgix?

Using the `purge` tool removes the cached version of the original image and ALL processed derivatives (resized, filtered, etc.) from imgix Edge nodes. This forces the system to re-fetch the file from your origin storage on the next request.

Can I connect my AWS S3 bucket to imgix using my agent?

Absolutely. Use the `create_source` tool and provide your S3 origin base URL. Your agent will handle the backend orchestration to map your storage bucket to a new imgix CDN domain.

How do I check if a source is currently serving traffic?

The `get_source` tool retrieves the real-time status of any imgix source. Your agent will return the deployment type and current state, so you'll know exactly if it's enabled and live.

imgix (Real-time Image Processing) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: imgix (Real-time Image Processing)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect imgix (Real-time Image Processing) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="imgix (Real-time Image Processing) Assistant",
            instructions=(
                "You help users interact with imgix (Real-time Image Processing). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from imgix (Real-time Image Processing)"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 imgix (Real-time Image Processing) MCP Server

Connect your imgix account to any AI agent and take full control of your real-time image processing and CDN infrastructure through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from imgix (Real-time Image Processing) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries imgix (Real-time Image Processing), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Source Orchestration — List, create, and configure imgix sources to connect your origin storage (S3, GCS, Web Folder) to the CDN directly from your agent
Cache Management — Purge specific assets from the imgix Edge network to force a re-fetch of original files and invalidate all processed derivatives instantly
Asset Monitoring — Enumerate files in your origin sources and retrieve metadata including file paths, sizes, and content types
Operational Control — Enable or disable specific sources to manage traffic flow and deployment windows for your visual media
Source Audit — Retrieve detailed configuration for existing sources, including deployment types, custom domains, and origin status
Infrastructure Management — Permanently remove unused sources or update caching attributes to optimize your image delivery pipeline

The imgix (Real-time Image Processing) MCP Server exposes 10 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 imgix (Real-time Image Processing) to OpenAI Agents SDK via MCP

Follow these steps to integrate the imgix (Real-time Image Processing) 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 10 tools from imgix (Real-time Image Processing)

Why Use OpenAI Agents SDK with the imgix (Real-time Image Processing) MCP Server

OpenAI Agents SDK provides unique advantages when paired with imgix (Real-time Image Processing) 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

imgix (Real-time Image Processing) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the imgix (Real-time Image Processing) MCP Server delivers measurable value.

Automated workflows: build agents that query imgix (Real-time Image Processing), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries imgix (Real-time Image Processing), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through imgix (Real-time Image Processing) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query imgix (Real-time Image Processing) to resolve tickets, look up records, and update statuses without human intervention

imgix (Real-time Image Processing) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect imgix (Real-time Image Processing) to OpenAI Agents SDK via MCP:

create_source

Create a new Imgix source. Connects your origin (S3, GCS, web folder) to Imgix CDN

delete_source

Delete an Imgix source permanently

disable_source

Undeploy/disable an Imgix source. Stops serving images

enable_source

Deploy/enable an Imgix source. Makes it live and serving images

get_asset

Get metadata of a specific asset in Imgix. Returns path, size, content type

get_source

Get details of an Imgix source. Returns name, domain, deployment type, and status

list_assets

List assets in an Imgix source. Returns file paths, sizes, and content types

list_sources

List all Imgix sources. Imgix is an image CDN that optimizes, resizes, and transforms images in real-time via URL parameters

purge

Purge an asset from Imgix CDN cache. Removes original and all derivatives, forcing re-fetch

update_source

Update an Imgix source configuration. Modify name, caching, or deployment settings

Example Prompts for imgix (Real-time Image Processing) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with imgix (Real-time Image Processing) immediately.

"List all my current imgix sources"

"Purge this image from CDN: https://mycompany.imgix.net/logos/v2.png"

"List the assets in the 'marketing-assets' source"

Troubleshooting imgix (Real-time Image Processing) MCP Server with OpenAI Agents SDK

Common issues when connecting imgix (Real-time Image Processing) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

imgix (Real-time Image Processing) + OpenAI Agents SDK FAQ

Common questions about integrating imgix (Real-time Image Processing) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.