How to Use the Vapi MCP in Google ADK

Q: How do I see all tools available in Vapi using the Google ADK?

Use the listagenttools method. This tells your agent exactly what operations are exposed by this MCP Server, keeping your process transparent.

Q: Can Vapi handle multi-step agents with the Google ADK?

Yeah, you've got listsquads. It lets you manage 'squads,' which are groups of agents designed to work together on complex tasks.

Q: How do I list my recent calls with Vapi and the Google ADK?

Run listcalls. This function gives you a quick view of both active and completed voice interactions managed by Vapi.

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Connect Vapi MCP to Google ADK

Create your Vinkius account to connect Vapi 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 Vapi with Google ADK

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Managing Call Personas with the MCP Server

You define new Voice AI assistant personas using `create_assistant`, specifying everything from the transcriber to the voice model. This ensures your Google ADK agent behaves exactly as you want it to. You can keep things current by calling `update_assistant` when a persona needs minor tweaks or changes.

Retrieving Call Details for Google ADK

The `get_call_details` tool retrieves full transcripts, metrics, and specific data points for any given call. Since you're working with BigQuery, this structured output integrates perfectly. Need a list of all agents? Use `list_assistants` to see every Voice AI persona configured in Vapi.

Starting Web and Phone Calls via MCP Server

You can start an outbound phone call using `create_phone_call`, supplying the number ID and customer details. It's straightforward. For web-based interactions, `create_web_call` returns a complete configuration package you need to initiate the virtual meeting.

Setup guide

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

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Common questions about Vapi MCP in Google ADK

Use the `list_agent_tools` method. This tells your agent exactly what operations are exposed by this MCP Server, keeping your process transparent.

Yeah, you've got `list_squads`. It lets you manage 'squads,' which are groups of agents designed to work together on complex tasks.

Vapi records call transcripts, detailed metrics, assistant configurations, and phone number usage. You can pull all this info using `list_calls`.

Run `list_calls`. This function gives you a quick view of both active and completed voice interactions managed by Vapi.

This server manages Call records, Assistant configurations, Phone numbers, and Transcripts. All core assets are accessible for your enterprise models.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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