How to Use the Dog CEO MCP in Google ADK

Q: How do I configure Dog CEO in my Google ADK agent?

Instantiate McpToolset with the Vinkius MCP server parameters and pass it to your LlmAgent tools parameter. Your Gemini model can immediately invoke listdogbreeds or fetch images.

Q: Can I restrict which Dog CEO tools my Google ADK agent can access?

Yes. Use the optional tool name filter in the McpToolset setup. This lets you restrict access, for example, allowing only listdogbreeds while blocking image retrieval tools.

Q: How does Gemini leverage Dog CEO data within its long context window?

Gemini can hold over a million tokens of context. When listdogbreeds returns the complete breed list, the model retains the entire taxonomy in memory, enabling highly accurate breed matching during complex multi-turn conversations.

Power your Gemini agents with real-time dog breed data and image retrieval using Google ADK.

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Connect Dog CEO MCP to Google ADK

Create your Vinkius account to connect Dog CEO 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 Dog CEO with Google ADK

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Perplexity

Map breed taxonomies using Google ADK

Gemini models excel at processing massive datasets. When you run `list_dog_breeds` via this MCP Server, the entire structured breed list is loaded into the model's working memory, allowing it to perform complex reasoning over hundreds of sub-breeds instantly. You can cross-reference this breed data with your existing enterprise datasets in BigQuery. The Google ADK makes it simple to feed the tool output directly into your analytical pipelines without writing custom parser code.

Query `get_dog_by_breed` within Vertex AI pipelines

Your enterprise agents can use `get_dog_by_breed` to pull specific visual assets on demand. The Google ADK manages the tool execution, letting Gemini inspect the resulting image URLs alongside your cloud-hosted metadata. This is ideal for building classification pipelines. The model matches a breed name from your database, calls the tool to fetch a verified image, and registers the output in your cloud storage.

Fetch instant images using Google ADK and this MCP Server

Need a fast placeholder or a random test image? The agent invokes `get_random_dog_image` to fetch a live URL from the API. Because the ADK handles HTTP transport seamlessly, your agent gets the image reference without blocking other cloud operations. You can restrict this tool's exposure using the tool name filter if you only want to expose specific actions.

Setup guide

Set up Dog CEO 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 Dog CEO 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="Dog CEO_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dog CEO 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 Dog CEO. 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 Dog CEO MCP in Google ADK

Instantiate `McpToolset` with the Vinkius MCP server parameters and pass it to your `LlmAgent` tools parameter. Your Gemini model can immediately invoke `list_dog_breeds` or fetch images.

Yes. Use the optional tool name filter in the `McpToolset` setup. This lets you restrict access, for example, allowing only `list_dog_breeds` while blocking image retrieval tools.

Yes, the ADK connects to this MCP server over HTTP. The framework supports both Stdio and HTTP transports, making the hosted server integration straightforward.

Gemini can hold over a million tokens of context. When `list_dog_breeds` returns the complete breed list, the model retains the entire taxonomy in memory, enabling highly accurate breed matching during complex multi-turn conversations.

This MCP server only handles public dog breed names and image URLs. No enterprise database credentials or private cloud data from your Google environment are ever exposed to the API.

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