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How to Use the Ideogram (AI Image Generation) MCP in Google ADK

Connect Gemini's long-context reasoning to Ideogram (AI Image Generation) using the Google ADK and this MCP server.

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Google ADK

Connect Ideogram (AI Image Generation) MCP to Google ADK

Create your Vinkius account to connect Ideogram (AI Image Generation) 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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Feed BigQuery data into the Ideogram MCP Server

The `generate_v3` tool turns structured data from BigQuery into high-fidelity marketing assets with perfect text rendering. It's a direct pipeline from your database to final creative assets. Because Gemini handles massive context windows, you can pass entire brand guidelines along with the `generate` tool call. The agent processes these rules to ensure the output matches your corporate identity every time.

Automate asset localization and framing via Google ADK

The `reframe` tool resizes existing design assets for different social media channels automatically. The Google ADK manages the execution, letting Gemini decide the target aspect ratios based on the platform requirements. If the background needs a complete overhaul to match a seasonal campaign, the agent invokes `replace_background`. The tool keeps your main subject intact while generating a fresh background that matches your new prompt.

Analyze and remix visual assets inside your Google Cloud

The `describe` tool inspects any image and generates highly detailed text descriptions. Using the Google ADK, you can index these descriptions back into your database to make your entire asset library searchable. When you need to iterate on a design, the agent calls `remix` to generate variations. It preserves the original composition while applying your new stylistic instructions.

Setup guide

Set up Ideogram (AI Image Generation) 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 Ideogram (AI Image Generation) 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="Ideogram (AI Image Generation)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Ideogram (AI Image Generation) 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 Ideogram. 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 Ideogram (AI Image Generation) MCP in Google ADK

You initialize the toolset with the server HTTP transport URL and pass it to your agent constructor. This exposes tools like `generate_v3` and `edit_v3` to Gemini for direct execution.
Yes, Gemini can call `edit` or `edit_v3` to modify specific parts of an image using masks. The Google ADK handles the transport of these image parameters to the MCP Server.
The agent invokes the `replace_background` tool with the source image and a new prompt. The Google ADK manages the request, returning the updated image link back to Gemini.
Yes, you can use the optional tool name filter in the Google ADK configuration. This allows you to expose only `generate_transparent` or `upscale` while hiding the other endpoints.
The MCP Server runs in an isolated V8 sandbox on Vinkius, meaning your prompt strings and source images are processed in a zero-trust environment. No data is cached or stored outside the active session.

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