How to Use the Workload MCP in Google ADK

Q: How can I manage Workload automations with Google ADK?

You use the agent to call tools like createworkflow and listworkflows. This allows your agents to programmatically build, list, and modify any automated process that connects services.

Q: Does Workload support auditing via Google ADK?

Yes. The agent uses listexecutions and listlogs to retrieve a complete audit trail of every action taken by the workflow. This is critical for maintaining compliance within your BigQuery data environment.

Q: How do I handle failed Workload jobs using Google ADK?

The agent handles failures directly. You call retryexecution to automatically re-run a job that encountered an error, saving you the manual effort of restarting it.

Build Enterprise Workload Automation with Google ADK

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Workload MCP to Google ADK

Create your Vinkius account to connect Workload 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 Workload with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Complex Business Processes

Your Gemini agent builds automated workflows using `create_workflow`, which connects disparate services. These processes eliminate manual data transfer, letting your agents act on the results immediately within the Google Cloud environment. The workflow doesn't just run; it can be managed via dedicated tools like `enable_workflow` and `disable_workflow`, giving you precise control over when the automation runs.

Track Every Step of an Execution

Need to know what happened? The agent uses `list_executions` to gather a history of every job run. Furthermore, it can use `list_logs` to pull raw event data for deep analysis. You get full visibility into the journey from start to finish. If something goes wrong, simply calling `retry_execution` allows your agent to fix and restart the failed process without human intervention.

Monitor System Health and Connectivity

The agent first checks system health by invoking `check_workload_status`, ensuring all endpoints are responsive. To get setup info, it calls `get_connection` to verify credentials. If you need a full picture of what's running, the toolset lets you call `list_workflows` or check which specific processes are active using `get_workflow`.

Setup guide

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

You use the agent to call tools like `create_workflow` and `list_workflows`. This allows your agents to programmatically build, list, and modify any automated process that connects services.

Yes. The agent uses `list_executions` and `list_logs` to retrieve a complete audit trail of every action taken by the workflow. This is critical for maintaining compliance within your BigQuery data environment.

The agent handles failures directly. You call `retry_execution` to automatically re-run a job that encountered an error, saving you the manual effort of restarting it.

The server provides the execution layer for your agents. It gives them the tools necessary to connect services and manage data pipelines, allowing the Gemini models to act on real-world operational status.

This server handles operational metadata, including connection details, workflow definitions, execution history, and system logs. It focuses purely on process state, not user content data.

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