Clarifai (Vision AI) MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Clarifai (Vision AI) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="clarifai_vision_ai_agent",
instruction=(
"You help users interact with Clarifai (Vision AI) "
"using 6 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Clarifai (Vision AI) MCP Server
Connect your Clarifai account to any AI agent and take full control of your computer vision and AI workflows through natural conversation.
Google ADK natively supports Clarifai (Vision AI) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- AI Inference (Predictions) — Dispatch automated validation inferences and parse exactly what the neural networks evaluated
- App & Model Management — List Clarifai apps and models to organize and audit your compute environments
- Chained Workflows — Retrieve composed computational blocks that tie multiple models together for complex AI tasks
- Datasets & Concepts — Identify data structures used for training and audit the textual concepts tagging your visual data
- Identity Mapping — Navigate users and apps to isolate your AI logic across different execution contexts
The Clarifai (Vision AI) MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Clarifai (Vision AI) to Google ADK via MCP
Follow these steps to integrate the Clarifai (Vision AI) MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 6 tools from Clarifai (Vision AI) via MCP
Why Use Google ADK with the Clarifai (Vision AI) MCP Server
Google ADK provides unique advantages when paired with Clarifai (Vision AI) through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Clarifai (Vision AI)
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Clarifai (Vision AI) tools with BigQuery, Vertex AI, and Cloud Functions
Clarifai (Vision AI) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Clarifai (Vision AI) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Clarifai (Vision AI) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Clarifai (Vision AI) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Clarifai (Vision AI) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Clarifai (Vision AI)
Clarifai (Vision AI) MCP Tools for Google ADK (6)
These 6 tools become available when you connect Clarifai (Vision AI) to Google ADK via MCP:
list_apps
Identify bounded Clarifai apps managing global compute limits
list_concepts
Extracts explicitly attached semantic bounds tagging datasets matching limits
list_datasets
Identify precise physical bounds mapping data structures resolving visual nodes
list_models
Perform structural extraction of computer vision parameters driving AI features
list_workflows
Retrieve the exact structural matching verifying chained AI limits
predict_model
/models/{model_id}/outputs` parsing exactly what the AI limit evaluated bounding image classifications. Dispatch an automated validation inference routing explicit network predictions
Example Prompts for Clarifai (Vision AI) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Clarifai (Vision AI) immediately.
"List all my Clarifai apps for user 'user_123'"
"Predict using model 'general-v2' in app 'General-Vision' with image URL 'https://example.com/photo.jpg'"
"What datasets are available in the 'Custom-Trainer' app?"
Troubleshooting Clarifai (Vision AI) MCP Server with Google ADK
Common issues when connecting Clarifai (Vision AI) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkClarifai (Vision AI) + Google ADK FAQ
Common questions about integrating Clarifai (Vision AI) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Clarifai (Vision AI) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clarifai (Vision AI) to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
