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How to Use the Wati MCP in Google ADK

Scale WhatsApp operations for Google ADK enterprise agents.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Wati MCP to Google ADK

Create your Vinkius account to connect Wati 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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Process Contact Data using MCP Server

The agent uses `list_contacts` to pull all known users. After that, it can get specific details on any user with `get_contact`. You'll also manage the full lifecycle by calling `add_contact` or updating records via `update_contact`. This is critical for building enterprise agents that act directly on your existing customer data within Google Cloud.

Automate Messaging with Google ADK

You can automate communication using structured templates; the agent calls `send_template_message` for this. For spontaneous conversations, it uses `send_session_message`. You'll also need to send rich media by calling `send_media_message`. This gives Google ADK agents the full range of tools necessary to handle everything from simple check-ins to complex, multi-format outreach.

Discover and Manage Messaging Assets with MCP Server

Before sending anything, the agent first calls `list_templates` to see all available message formats. It also uses `get_template` if it needs specific details about a known template. For tracking, running `list_messages` gives a clear audit trail of every conversation and outreach attempt.

Setup guide

Set up Wati 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Wati 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="Wati_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Wati tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wati. 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.

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 Wati MCP in Google ADK

The agent calls the `check_wati_status` tool. This confirms that your connection to the messaging platform is live and ready for enterprise-level execution before any workflow runs.
The server provides twelve specific tools, including `list_contacts`, `send_template_message`, and `add_contact`. These cover the entire spectrum of messaging operations.
Absolutely. You can use specific tools like `send_session_message` for private chat and `send_template_message` for large-scale, structured announcements.
The agent can check the history using `list_messages`. This gives you the context of failed messages and the specific tool call that needs fixing. It helps pinpoint failure points fast.
The primary data type touched is contact attributes. When you use `update_contact`, you are modifying user profile details, which must be handled securely.

Start using the Wati MCP today

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