How to Use the Vibrato MCP in Google ADK

Q: How does Vibrato help with call management in the Google ADK?

The MCP Server provides tools like listcalls and listtemplates. Your agent uses this data to enrich your BigQuery records, letting you analyze communication patterns.

Q: Can I use Vibrato for call execution within the Google ADK?

Yes. By calling createcall, your Gemini-powered agent can initiate a phone conversation and manage it as part of its overall workflow on Google Cloud.

Q: How do I check status updates using Vibrato and Google ADK?

You use getcallstatus. This allows your agent to poll the server for the current state of a call, ensuring that follow-up actions are taken only when necessary.

Build enterprise phone agents that act on BigQuery data using 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 Vibrato MCP to Google ADK

Create your Vinkius account to connect Vibrato 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 Vibrato with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Execute calls from structured templates.

Start a scheduled conversation flow with `create_call_from_template`. The agent initiates the call based on defined business logic, like setting up an account renewal. This mechanism lets your agents interact with customers using specific scripts without needing human intervention.

Initiate ad-hoc AI calls.

When you need a one-off conversation, use `create_call`. You simply provide the prompt, phone number, and locale to start. Your agent then manages the entire life cycle of that call. This is useful for immediate customer service tasks where the goal isn't templated.

Review historical call data.

Pull a complete record using `list_calls` or check the current state with `get_call_status`. This structured output is designed to feed directly into your BigQuery tables. Your agent can use this history to perform complex, long-context reasoning across thousands of records.

Setup guide

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

The MCP Server provides tools like `list_calls` and `list_templates`. Your agent uses this data to enrich your BigQuery records, letting you analyze communication patterns.

Yes. By calling `create_call`, your Gemini-powered agent can initiate a phone conversation and manage it as part of its overall workflow on Google Cloud.

The server handles calling metadata, including call status, templates, and specific contact information. This structured data is ideal for BigQuery ingestion.

It adds a critical action layer: the ability to communicate via phone. Your agents can now not only read from BigQuery but also take external actions in the real world.

You use `get_call_status`. This allows your agent to poll the server for the current state of a call, ensuring that follow-up actions are taken only when necessary.

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