Arize AI MCP Server for Google ADKGive Google ADK instant access to 6 tools to Create Dataset, Get Model, List Datasets, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Arize AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Arize AI app connector for Google ADK is a standout in the Friends Mcp category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="arize_ai_alternative_agent",
instruction=(
"You help users interact with Arize 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 Arize AI MCP Server
Connect your Arize AI account to any AI agent and take full control of your machine learning observability and automated model monitoring workflows through natural conversation.
Google ADK natively supports Arize 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
- Project & Trace Orchestration — List and monitor active ML tracing projects programmatically, retrieving detailed high-fidelity execution spans and telemetry data in real-time
- Dataset Lifecycle Management — Programmatically create and manage datasets for model evaluation and validation to maintain a perfectly coordinated ML infrastructure
- Experiment Monitoring — Access and track ML experiments to understand high-fidelity model performance, drift, and data quality across different environments
- Model Intelligence Discovery — Retrieve detailed metadata for specific ML models to coordinate your organizational AI strategy directly through your agent
- Operational Monitoring — Access account-level settings and verify API connectivity directly through your agent for instant performance reporting
The Arize 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.
All 6 Arize AI tools available for Google ADK
When Google ADK connects to Arize AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning ml-observability, model-monitoring, data-drift, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a dataset
Get model details
List datasets
List experiments
List projects
List spans
Connect Arize AI to Google ADK via MCP
Follow these steps to wire Arize AI into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Arize AI MCP Server
Google ADK provides unique advantages when paired with Arize 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 Arize 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 Arize AI tools with BigQuery, Vertex AI, and Cloud Functions
Arize AI + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Arize AI MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Arize AI and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Arize AI tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Arize 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 Arize AI
Example Prompts for Arize AI in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Arize AI immediately.
"List all active ML projects in my Arize account."
"Show the recent execution spans for project '1024'."
"Create a new dataset 'Q2_Eval_Data' for model evaluation."
Troubleshooting Arize AI MCP Server with Google ADK
Common issues when connecting Arize AI to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkArize AI + Google ADK FAQ
Common questions about integrating Arize AI MCP Server with Google ADK.