Can the agent place an outbound phone call for me?

Yes! Through the `createPhoneCallTool`, you can ask your agent: `Initiate a phone call to +15551234567 using our 'Sales Assistant' persona`. It will format the payload correctly and instruct Vapi to dial the human using the specified AI persona.

How can I read the transcript of an old automated voice call?

Just tell your chat assistant: `fetch the transcript details for call ID '3fbea5x...'`. The `getCallTool` reaches into Vapi, extracts the raw audio-to-text transcript logs, and the assistant can even summarize the entire human-to-AI interaction for you.

Can I tweak system prompts or models sequentially in my chat editor?

Yes, especially if you're in an IDE like Cursor. You can iterate: `Update Assistant 'Agent A' to use GPT-4o and set its prompt to 'Always be highly overly enthusiastic'`. The agent will use the `updateAssistantTool` to reconfigure the live voice persona instantly.

Vapi MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Vapi
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Vapi as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="vapi_agent",
    instruction=(
        "You help users interact with Vapi "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Vapi MCP Server

Connect your Vapi account to any AI agent and bring the power of automated voice communication into your standard conversational workspace.

Google ADK natively supports Vapi as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Phone Calling — Send commands instructing the agent to place outbound human-like phone calls and establish web ringing connections through Vapi's PSTN/WebRTC capabilities.
Call Transcripts — Search through recent call logs, retrieve call details natively, and pull raw voice-to-text transcripts or conversation metrics.
Persona Engineering — Ask your chat agent to build new Vapi assistants, update their system prompts, change its specific model, or mutate Voice IDs on the fly.
Squad Routing — List available telephony numbers, tools, and multi-agent squads natively to configure advanced conversational pathways.

The Vapi MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Vapi to Google ADK via MCP

Follow these steps to integrate the Vapi MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Vapi via MCP

Why Use Google ADK with the Vapi MCP Server

Google ADK provides unique advantages when paired with Vapi through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Vapi

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Vapi tools with BigQuery, Vertex AI, and Cloud Functions

Vapi + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Vapi MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Vapi and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Vapi tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Vapi regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Vapi

Vapi MCP Tools for Google ADK (10)

These 10 tools become available when you connect Vapi to Google ADK via MCP:

create_assistant

Provide configuration for transcriber, model, and voice as a JSON string. Create a new Voice AI assistant persona

create_phone_call

Provide the phone number ID and customer details. Start a new outbound phone call via Vapi

create_web_call

Returns a web call configuration. Generate a new web-based voice call link

get_call_details

Retrieves details, transcripts, and metrics for a specific call

list_agent_tools

List all tools available to Vapi assistants

list_assistants

List all Voice AI assistants configured in Vapi

list_calls

List recent and active voice calls managed by Vapi

list_phone_numbers

List all phone numbers connected to Vapi

list_squads

List all multi-agent squads

update_assistant

Update an existing assistant configuration

Example Prompts for Vapi in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Vapi immediately.

"List all our configured Voice assistants and their IDs."

"Get the details and full transcript for call ID 'vapi1234'."

"Update assistant 'Bot Support' to change its `model.model` parameter to `gpt-4o-mini`."

Troubleshooting Vapi MCP Server with Google ADK

Common issues when connecting Vapi to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Vapi + Google ADK FAQ

Common questions about integrating Vapi MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.