How to Use the Aero Workflow MCP in Google ADK

Q: How do I set up the Aero Workflow MCP with Google ADK?

You'll use the McpToolset class from the google-adk library, pointing it to your Vinkius server URL. Then you pass that toolset into your LlmAgent's tools parameter. It's designed to fit right into the Google ADK structure.

Q: How do I limit the tools my Google ADK agent can use with Aero Workflow?

When you create the McpToolset, you can pass an optional toolnames filter. This lets you expose only a specific subset of the Aero Workflow tools to that particular agent, which is great for security and building specialized agents.

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Connect Aero Workflow MCP to Google ADK

Create your Vinkius account to connect Aero Workflow 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.

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Setup Aero Workflow with Google ADK

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Query Aero from Your Gemini Agent

The Google ADK gives your Gemini-powered agent a direct line into Aero Workflow. Your agent can pull lists of clients with `list_firm_customers` or get a staff directory with `list_firm_team_members`. It's how you give the model real-time context about your firm. Imagine feeding this data into a BigQuery table for analysis. Your agent can fetch task status using `list_workflow_tasks` and `get_task_details`, then pipe the results right into your Google Cloud environment. It closes the loop between your practice management and your data warehouse.

Use the Google ADK to Manage Aero Workflow

This isn't just for reading data. You can build agents that take action. Use `create_new_customer` to onboard new clients or `create_new_workflow_task` to delegate work, all triggered from events within your Google Cloud project. Because Gemini models can have a large context window, you can design complex agentic workflows. For instance, an agent could read an email, find the corresponding client in Aero with `list_firm_customers`, create a new task with `create_new_workflow_task`, and log the entire interaction.

A Scalable MCP Server for Your Firm

Your agent can get operational data without leaving the Google ecosystem. It can check on your integration's status with `check_api_health` or pull your firm's account info with `get_account_info`. You can also manage your firm's standard operating procedures programmatically. Have your agent `list_checklist_templates` to see your available workflows, then use that information to create new tasks that follow a consistent pattern. It's a solid way to enforce standards.

Setup guide

Set up Aero Workflow 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 Aero Workflow 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="Aero Workflow_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Aero Workflow tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Aero Workflow MCP in Google ADK

You'll use the `McpToolset` class from the `google-adk` library, pointing it to your Vinkius server URL. Then you pass that toolset into your `LlmAgent`'s `tools` parameter. It's designed to fit right into the Google ADK structure.

Yes, that's a perfect use case. Your agent would call tools like `list_firm_customers` or `list_time_tracking_logs` and then use a separate tool for BigQuery to insert the data. The ADK is built for these kinds of data pipelines.

No, that's the point of an MCP server. The model doesn't need to know your data beforehand. It learns to call the available tools like `get_task_details` to fetch the information it needs, live, when it needs it.

When you create the `McpToolset`, you can pass an optional `tool_names` filter. This lets you expose only a specific subset of the Aero Workflow tools to that particular agent, which is great for security and building specialized agents.

The agent will request your firm's customer records, staff lists, workflow tasks, and time logs. Each request runs in a dedicated, zero-trust sandbox on Vinkius. Your API credentials are encrypted and never exposed to the agent.

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