How to Use the Termii MCP in Google ADK

Q: How do I list available sender IDs using Termii with Google ADK?

You simply invoke the listsenderids tool. This action returns all registered Sender IDs, letting you know exactly what names your messages will appear under.

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Connect Termii MCP to Google ADK

Create your Vinkius account to connect Termii 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 Termii with Google ADK

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Verify and Send Business Messages

The `send_whatsapp` tool lets your agent push rich business messages through WhatsApp. It's ideal for marketing or customer service communication flows. For standard alerts, you use `send_sms`. This gives your Google ADK-powered agent the flexibility to choose the most reliable channel depending on the user's location.

Checking API Limits with MCP Server

Before running a big campaign, call `check_balance` to get an immediate view of your account balance. This prevents costly failures deep in your agent workflow. It's smart planning; you verify the budget before the Gemini model starts generating complex communication sequences.

Full User Verification Cycle

To onboard a user, your agent uses `send_otp` to dispatch the code, and then immediately calls `verify_otp`. This two-step process ensures the identity is validated before any business logic runs. It’s a robust guardrail for enterprise use. You prove both possession of the number and validity of the user.

Setup guide

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

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Common questions about Termii MCP in Google ADK

Your agents treat Termii's tools as native capabilities, just like BigQuery access. You call functions like `send_sms` directly from your agent workflow using the standard GCP toolset.

The server handles user identities and communication messages across various channels. It manages the lifecycle of OTP codes, ensuring they are sent securely and verified correctly within your enterprise environment.

Yes. If a WhatsApp message fails to send for a user in certain areas, the agent can automatically pivot and use `send_sms` as the primary fallback channel.

You simply invoke the `list_sender_ids` tool. This action returns all registered Sender IDs, letting you know exactly what names your messages will appear under.

Termii handles the communication messages and user identities. The server is designed to process these sensitive types of information while maintaining clear audit trails for compliance.

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