How to Use the GoTo Connect MCP in Google ADK

Q: Can I use GoTo Connect data in BigQuery after fetching it?

Yes, your agent can process the output from listcontacts or call logs and write the results to your cloud storage. The MCP Server provides the raw data, and your ADK agent handles the movement.

Connect your Google ADK agents to GoTo Connect to manage calls, voicemails, and SMS logs directly from your cloud infrastructure.

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Connect GoTo Connect MCP to Google ADK

Create your Vinkius account to connect GoTo Connect 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 GoTo Connect with Google ADK

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Sync Users and Devices

Use `list_users` and `list_devices` to keep your agent aware of your company's communication footprint. It maps your internal resources to the GoTo Connect directory for quick lookups. Getting exact device status via the MCP Server helps your agent route automated tasks to the right hardware. It’s a direct link to your active office infrastructure.

Voice and Message Triage

Your agent uses `list_voicemails` to monitor incoming audio messages across your organization. It pulls the specific metadata required to decide if a follow-up is needed immediately. Triggering `send_sms` allows the agent to acknowledge receipt or provide updates automatically. Your workflow stays synchronized with the actual communication state of the user.

Structured Call Auditing

Pulling history with `get_call_records` gives your agent the context needed for reporting. It allows for analysis of call frequency and duration across your entire user base. If you need specific info, `get_call_record` provides the granular detail necessary for auditing individual support sessions. The data flows straight into your Google Cloud pipeline.

Setup guide

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

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Common questions about GoTo Connect MCP in Google ADK

The McpToolset maps the 12 available tools into your agent's scope. You can filter these tools to restrict what the agent sees in your Google ADK environment.

Yes, your agent can process the output from `list_contacts` or call logs and write the results to your cloud storage. The MCP Server provides the raw data, and your ADK agent handles the movement.

It takes one endpoint URL to initialize the connection. Once you pass the toolset to your agent, the interaction is handled by your existing framework.

It provides the text-based logs and metadata that Gemini excels at processing. You can feed entire history lists into the model for high-level pattern recognition.

You retain full control over your credentials. The MCP Server acts as an ephemeral proxy, ensuring that your sensitive call records are not cached or stored by Vinkius.

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