How to Use the UnifyApps MCP in Google ADK

Q: How do I list integrations using UnifyApps and Google ADK?

The agent uses listintegrations to pull the full list of connected services. This information is passed directly to your Gemini models, allowing them to formulate actions based on available data sources.

Q: Can UnifyApps help with flow monitoring using Google ADK?

Yes. Running listflowexecutions gives you a list of recent automation runs. This lets your agent monitor performance and identify bottlenecks in the defined workflows within UnifyApps.

Q: What tools does UnifyApps provide to Google ADK?

UnifyApps exposes multiple tools, including listactiveconnections, listaiagents, and getintegrationdetails. This breadth of tools lets your agent handle multi-step processes.

Q: Does UnifyApps provide full context to Google ADK?

It does. By providing access to tool functions like listautomationflows and listintegrations, the MCP Server gives your agent a complete operational picture of the platform.

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Connect UnifyApps MCP to Google ADK

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Setup UnifyApps with Google ADK

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List all configured integrations.

Your agent uses `list_integrations` to get a full roster of every service connected in the UnifyApps environment. This allows your Google Cloud agents to know what data sources they can access. Need to scope down? You can run `list_ai_agents` first, ensuring that only relevant agents are considered for the current task.

Verify active connections.

`list_active_connections` checks which user accounts are currently linked and operational. This is key when running enterprise workflows because it confirms live credentials. You can also check `get_integration_details` to validate the specific setup parameters for a single, critical integration.

Audit automation processes.

`list_automation_flows` pulls up every defined workflow in UnifyApps. Your agent checks these flows before acting on them, making sure business logic is sound. To confirm past operations, use `list_flow_executions`. This lists the history of runs, giving you an auditable trail directly in your Google Cloud workflow.

Setup guide

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

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Common questions about UnifyApps MCP in Google ADK

The agent uses `list_integrations` to pull the full list of connected services. This information is passed directly to your Gemini models, allowing them to formulate actions based on available data sources.

Yes. Running `list_flow_executions` gives you a list of recent automation runs. This lets your agent monitor performance and identify bottlenecks in the defined workflows within UnifyApps.

UnifyApps exposes multiple tools, including `list_active_connections`, `list_ai_agents`, and `get_integration_details`. This breadth of tools lets your agent handle multi-step processes.

It does. By providing access to tool functions like `list_automation_flows` and `list_integrations`, the MCP Server gives your agent a complete operational picture of the platform.

UnifyApps exposes connection status and flow definitions. Your agent reads this metadata, such as which accounts are connected via `list_active_connections`, but it doesn't handle raw user content.

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