How to Use the Authkey MCP in Google ADK

Q: How does Gemini use the Authkey MCP tool definitions?

Google ADK translates the schema of tools like sendemail into Gemini function declarations. The model then decides when to call them based on your system prompt.

Run enterprise SMS and voice campaigns using Google ADK to query BigQuery data and trigger Authkey communications.

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Connect Authkey MCP to Google ADK

Create your Vinkius account to connect Authkey 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 Authkey with Google ADK

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BigQuery-driven messaging via Google ADK

The `send_sms` and `send_bulk_sms` tools allow your enterprise agents to message customers using data queried directly from BigQuery. By linking this MCP Server, your Gemini-powered agent can identify dormant users and trigger personalized SMS text. The 1M+ token context window allows the agent to analyze massive datasets before deciding who needs to receive a notification. You don't need to write glue code between your database and the gateway. The agent retrieves the target audience from your Google Cloud warehouse and passes the payload directly to `list_templates` to select the right message format.

High-volume voice OTP verification with Gemini

Your agents can invoke `send_voice` to trigger voice-based verification calls and then confirm them with `verify_otp`. Google ADK lets your enterprise agents manage voice-based user verification at scale. Gemini's reasoning capabilities help the agent handle complex edge cases, like retrying via a different channel if `get_voice_status` indicates a failed delivery. Since the framework supports strict tool filtering, you can expose only the necessary verification tools to your public-facing authentication agent. This keeps administrative MCP tools hidden from the client.

Automated communication audits on Vertex AI

By accessing `list_sms_history` and `check_balance`, your agent can automatically audit daily delivery rates and costs. Using Google ADK, your agent can query these endpoints to generate daily delivery reports. The agent analyzes these trends inside Vertex AI, identifying which carriers are dropping messages or when your balance is running low. You can schedule these audits to run autonomously. The agent pulls the history, compares it against your BigQuery conversion tables, and alerts your team if delivery rates dip below your threshold.

Setup guide

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

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Common questions about Authkey MCP in Google ADK

Initialize the MCP toolset with your HTTP endpoint URL from Vinkius. Pass this toolset directly to your LlmAgent instance so Gemini can access the messaging tools.

Yes, you can pass a list of allowed tool names to the McpToolset constructor. This is useful if you want to prevent a specific agent from calling `send_bulk_sms`.

It does. You can connect your agent to Vinkius using either the Stdio transport or the Streamable HTTP transport, depending on your cloud architecture.

Google ADK translates the schema of tools like `send_email` into Gemini function declarations. The model then decides when to call them based on your system prompt.

All phone numbers, emails, and message bodies are processed in memory within ephemeral V8 isolates. Vinkius never writes this sensitive communication data to persistent storage.

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