How to Use the DummyImage MCP in Google ADK

Build enterprise mockups by feeding Google ADK layout data directly into DummyImage.

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Connect DummyImage MCP to Google ADK

Create your Vinkius account to connect DummyImage to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DummyImage with Google ADK

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Context-aware image generation for Google ADK

The `generate_image` tool lets your Gemini agent generate visual placeholders based on massive datasets pulled from BigQuery. If your database contains product listings with missing images, the agent dynamically creates correctly sized placeholders on the fly. This native integration allows the agent to process long-context UI specs and output exact image URLs matching those specifications. It bridges the gap between raw backend data and frontend design requirements.

Enterprise-scale placeholder generation via MCP Server

The `generate_image` tool handles high-throughput requests when your Google ADK agent runs batch UI rendering pipelines. By passing the toolset to your agent, the system automatically discovers the image generator without manual configuration. To restrict access to specific tools, use the tool filtering options in your Python code. This ensures your agent only generates mockups when explicitly permitted, keeping API usage predictable.

Instant visual feedback for cloud applications

The `generate_image` tool returns clean URLs that load instantly in any web browser or cloud environment. Your agent can write these URLs directly into HTML templates, allowing you to preview complex dashboards immediately. This eliminates the old workflow of downloading static assets, using our hosted MCP endpoint to handle the generation. The entire process happens in memory, triggered by natural language commands from your agent.

Setup guide

Set up DummyImage MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with DummyImage tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="DummyImage_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DummyImage tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DummyImage. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DummyImage MCP in Google ADK

Install the package, define your server parameters using StreamableHttpServerParameters, and register it as an MCP toolset. You then pass this toolset directly to your LlmAgent instance.

Yes, Gemini's long-context capabilities allow the agent to analyze multiple layout requirements at once and call `generate_image` in rapid succession. This is ideal for generating placeholders for entire product catalogs.

Yes, the integration supports both Stdio and HTTP transport layers. You can run the server locally on your machine or host it as a remote service depending on your architecture.

The tool generates standard web-compatible image URLs, typically rendering PNG or JPEG formats depending on the parameters your agent passes. These URLs work inside any standard image tag.

Your layout parameters and text labels are never cached or logged on external disks. The server executes within an ephemeral V8 isolate MCP sandbox that processes your requests in memory and destroys the session immediately after the image URL is returned.

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