autoRetouch MCP Server for Google ADKGive Google ADK instant access to 11 tools to Create Execution, Get Batch, Get Execution, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add autoRetouch as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The autoRetouch app connector for Google ADK is a standout in the Ecommerce category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="autoretouch_agent",
instruction=(
"You help users interact with autoRetouch "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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 autoRetouch MCP Server
Connect your autoRetouch account to any AI agent and take full control of your automated image editing and high-fidelity retouching workflows through natural conversation.
Google ADK natively supports autoRetouch as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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
- Workflow Orchestration — Execute complex high-fidelity AI workflows for background removal, color correction, and shadow generation programmatically
- Bulk Processing Intelligence — Programmatically upload raw images and monitor their processing status in real-time to maintain a perfectly coordinated media pipeline
- Result Discovery — Retrieve high-fidelity result URLs for processed images and access detailed metadata for every individual execution
- Lifecycle Management — Group multiple executions into tracked batches to oversee your organization's image editing volume efficiently
- Financial Visibility — Access your organization's wallet balance and profile metadata directly through your agent for instant operational reporting
The autoRetouch MCP Server exposes 11 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.
All 11 autoRetouch tools available for Google ADK
When Google ADK connects to autoRetouch through Vinkius, your AI agent gets direct access to every tool listed below — spanning photo-editing, background-removal, image-processing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Returns the execution ID. Start an image processing execution
Get details of a specific batch
Get details of a specific execution
Get details of a specific image
Get organization details
Get account wallet balance
Get details of a specific workflow
List all batches
List recent executions
List uploaded images
List all image processing workflows
Connect autoRetouch to Google ADK via MCP
Follow these steps to wire autoRetouch into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the autoRetouch MCP Server
Google ADK provides unique advantages when paired with autoRetouch 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 autoRetouch
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 autoRetouch tools with BigQuery, Vertex AI, and Cloud Functions
autoRetouch + Google ADK Use Cases
Practical scenarios where Google ADK combined with the autoRetouch MCP Server delivers measurable value.
Enterprise data agents: ADK agents query autoRetouch and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine autoRetouch tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query autoRetouch regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including autoRetouch
Example Prompts for autoRetouch in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with autoRetouch immediately.
"List all active image processing workflows in my organization."
"Run the 'Ghost Mannequin' workflow (ID: 'wf_123') on image ID 'img_456'."
"Check status and get the result URL for execution 'exec_789'."
Troubleshooting autoRetouch MCP Server with Google ADK
Common issues when connecting autoRetouch to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkautoRetouch + Google ADK FAQ
Common questions about integrating autoRetouch MCP Server with Google ADK.