How to Use the Clarifai (Vision AI) MCP in Google ADK

Q: Can Clarifai (Vision AI) manage model outputs in Google ADK?

Yes, the predictmodel tool returns the exact evaluation data from your model outputs. Your agent can then use this data to perform further logic in your cloud environment.

Connect Clarifai (Vision AI) to your Google ADK environment for enterprise-grade image reasoning.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Clarifai (Vision AI) MCP to Google ADK

Create your Vinkius account to connect Clarifai (Vision AI) 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

Setup Clarifai (Vision AI) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Execute vision tasks in Google ADK

The `predict_model` tool lets your Google ADK agent process images against specific vision parameters. You get the prediction results back as structured data ready for your cloud workflow. It works by connecting your agent to the model outputs directly. You don't have to build custom wrappers for the API.

Query your vision datasets

Use `list_datasets` to identify the physical bounds and structures of your visual nodes. This allows your agent to select the right data for the task at hand. Your Google ADK agent pulls this metadata to ensure it's pointing at the correct source. It removes the guesswork from your data processing.

Audit your model list

Run `list_models` to see the current computer vision parameters driving your features. It gives you a clear view of your available models in the Google ADK context. This makes it easy to switch between different vision models based on the specific needs of your agent. You always know which model is handling the load.

Setup guide

Set up Clarifai (Vision AI) 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 Clarifai (Vision AI) 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="Clarifai (Vision AI)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Clarifai (Vision AI) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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

Connect Clarifai (Vision AI) now

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 Clarifai (Vision AI) MCP in Google ADK

Absolutely. You can use the McpToolset in your Google ADK project to bring in all the tools provided by the server.

The server uses standard HTTP or Stdio transports to hook into your agent. Once linked, you can call any tool from the server by name within your agent code.

Yes, the `predict_model` tool returns the exact evaluation data from your model outputs. Your agent can then use this data to perform further logic in your cloud environment.

Vinkius handles all auth through an endpoint token. Your agent connects over a secure, isolated channel that keeps your traffic private.

Your classification metadata is handled in a zero-trust sandbox environment. Once the inference session ends, the transient data is purged from the server memory.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript