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 Google ADK 10 tools — connect in under 2 minutes

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

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add imgix (Real-time Image Processing) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="imgix_real_time_image_processing_agent",
    instruction=(
        "You help users interact with imgix (Real-time Image Processing) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports imgix (Real-time Image Processing) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the imgix (Real-time Image Processing) MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from imgix (Real-time Image Processing) via MCP

Why Use Google ADK with the imgix (Real-time Image Processing) MCP Server

Google ADK provides unique advantages when paired with imgix (Real-time Image Processing) through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with imgix (Real-time Image Processing)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine imgix (Real-time Image Processing) tools with BigQuery, Vertex AI, and Cloud Functions

imgix (Real-time Image Processing) + Google ADK Use Cases

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

Enterprise data agents: ADK agents query imgix (Real-time Image Processing) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine imgix (Real-time Image Processing) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query imgix (Real-time Image Processing) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including imgix (Real-time Image Processing)

imgix (Real-time Image Processing) MCP Tools for Google ADK (10)

These 10 tools become available when you connect imgix (Real-time Image Processing) to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

imgix (Real-time Image Processing) + Google ADK FAQ

Common questions about integrating imgix (Real-time Image Processing) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.