How to Use the Ideogram MCP in Google ADK

Q: How do I restrict Ideogram tools in a Google ADK agent?

You can use the toolnames filter in your McpToolset configuration. This prevents the agent from accessing functions like deleteimage if you prefer to keep image management manual.

Bring Ideogram image generation to your Google ADK enterprise agents on Google Cloud.

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Connect Ideogram MCP to Google ADK

Create your Vinkius account to connect Ideogram 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 Ideogram with Google ADK

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Native Ideogram integration for Google ADK

Connect the Ideogram MCP server to your `LlmAgent` to start generating photorealistic compositions alongside your BigQuery data processing tasks. This setup allows your agents to synthesize visual reports based on actual enterprise data. Because the MCP server supports Stdio and HTTP transports, it fits into your existing Google Cloud infrastructure. You can restrict the exposed tools using a filter to ensure your agent only accesses what it needs.

High-volume asset management in Google ADK

Your agent can manage large libraries of assets by utilizing `list_images` and `get_image` to audit content stored in your account. This is essential for agents that operate on long-context reasoning with Gemini models. When you need to clean up resources, use `delete_image` to prune your asset library automatically. This keeps your storage footprint manageable while the agent continues its primary data-driven analysis.

Enterprise-grade model selection for Google ADK

Query `list_models` to check which Ideogram model versions are active before triggering a `generate_image` operation. This ensures your agent is always using the most capable model for your specific typographic requirements. You can also call `list_styles` to dynamically adjust the aesthetic output to match corporate branding. Your agent makes these decisions at runtime, selecting the best style based on the context provided by your data.

Setup guide

Set up Ideogram 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 Ideogram 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_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Ideogram 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 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 MCP in Google ADK

Yes. You can feed prompt descriptions generated by Ideogram into your Gemini context window. This allows your agent to maintain a deep understanding of visual assets over long sessions.

You can use the tool_names filter in your McpToolset configuration. This prevents the agent from accessing functions like `delete_image` if you prefer to keep image management manual.

You can absolutely pass data from BigQuery into your prompt templates. Your agent then sends this data to the `generate_image` tool to create customized visuals.

Vinkius manages the endpoint token for you. You just provide the URL in your McpToolset parameters, and the connection is established securely.

All requests are ephemeral and handled within the V8 Isolate sandbox. The server never persists your raw data, ensuring your enterprise information remains isolated from other sessions.

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