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How to Use the DeepAI MCP in Google ADK

Give your Google ADK agents native access to the DeepAI MCP Server image generation and background removal tools.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers - Free for Subscribers
Google ADK

Connect DeepAI MCP to Google ADK

Create your Vinkius account to connect DeepAI 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.

GDPR Free for Subscribers

Generate Visuals from BigQuery Data

DeepAI exposes core design functions like `generate_image` and `edit_image` to your Google Cloud environment. Your agent reads product descriptions from a database and turns them into actual marketing assets. Using Google ADK lets you feed massive context windows into the Gemini model. You can dump a fifty-page brand guideline document into the prompt, and the agent will use those exact stylistic rules when calling the image tools.

Restrict DeepAI MCP Server Tools

Fixing old photographs happens through the `colorize_image` and `super_resolution` commands. The agent processes degraded source files and outputs clean, high-resolution versions. Enterprise setups require strict access controls. You can use the tool_names filter in your McpToolset configuration to expose only the restoration tools, preventing the agent from accidentally generating new images.

Batch Process Product Catalogs

Stripping backgrounds from product shots is a single function call using `remove_background`. The agent accepts a source URL and returns a transparent PNG. Connecting this to Vertex AI pipelines allows for massive batch operations. Your Google ADK agent pulls thousands of raw images from Cloud Storage, processes them through the MCP toolset, and saves the cleaned files back to a new bucket.

Setup guide

Set up DeepAI 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. 1

    Install Google ADK

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

  2. 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. 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. 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 DeepAI 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="DeepAI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DeepAI tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DeepAI. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DeepAI MCP in Google ADK

Install the framework with pip install google-adk. Create an McpToolset using your Vinkius URL and pass it to your LlmAgent initialization.
The models process the returned image URLs and metadata perfectly. They use that context to verify the output or trigger follow-up edits.
The framework handles the connection via StreamableHttpServerParameters. It manages the network transport while the image processes.
You can restrict the exposed functions easily. Pass a specific list to the tool_names parameter to hide tools you want to keep inactive.
The MCP server handles text prompts and source image URLs. Vinkius executes these requests within a zero-trust environment, requiring only a single endpoint token and discarding all session data immediately after processing.

Start using the DeepAI MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 5 tools

We've already built the connector for DeepAI. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 5 tools are live and waiting. You're up and running in seconds.

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