Workload MCP Server for Google ADKGive Google ADK instant access to 13 tools to Check Workload Status, Create Workflow, Disable Workflow, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Workload 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 Workload app connector for Google ADK is a standout in the Productivity category — giving your AI agent 13 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="workload_agent",
instruction=(
"You help users interact with Workload "
"using 13 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 Workload MCP Server
Connect your Workload account to any AI agent and take full control of your business process automation and automated workflow orchestration through natural conversation.
Google ADK natively supports Workload as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 13 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
- Automation Portfolio Orchestration — List and manage your entire high-fidelity database of workflows programmatically, retrieving detailed trigger and action metadata
- Execution Intelligence Architecture — Programmatically query and monitor workflow execution history and success rates to maintain a perfectly coordinated audit trail
- Task & Resource Monitoring — Access real-time status updates for active automations and track task volume directly through your agent for instant reporting
- Metadata Management — Programmatically retrieve high-fidelity workflow IDs and connection statuses to coordinate your organizational productivity ecosystem
- Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling
The Workload MCP Server exposes 13 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 13 Workload tools available for Google ADK
When Google ADK connects to Workload through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, process-orchestration, business-process, 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.
Verify connectivity
Create a workflow
Disable a workflow
Enable a workflow
Get connection details
Get execution details
Get workflow details
List connections
List executions
List executions by workflow
List workflow logs
List workflows
Retry an execution
Connect Workload to Google ADK via MCP
Follow these steps to wire Workload 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 Workload MCP Server
Google ADK provides unique advantages when paired with Workload 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 Workload
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 Workload tools with BigQuery, Vertex AI, and Cloud Functions
Workload + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Workload MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Workload and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Workload tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Workload regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Workload
Example Prompts for Workload in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Workload immediately.
"List all active workflows in my Workload account."
"Show the execution history for the 'Invoice Flow' (ID: wf_123)."
"Check my Workload orchestration metrics for this month."
Troubleshooting Workload MCP Server with Google ADK
Common issues when connecting Workload to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkWorkload + Google ADK FAQ
Common questions about integrating Workload MCP Server with Google ADK.