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How to Use the Wati MCP in Google ADK

Run Wati operations in BigQuery with Google ADK.

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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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Send dynamic WhatsApp templates

The `send_template_message` tool lets your agent send templated messages, requiring both the template name and a target phone number. This is perfect for automated follow-ups. Your agent can use this to trigger complex communication flows that rely on structured data from Google Cloud.

Get full WhatsApp chat history

When you have a contact’s phone number, the `get_whatsapp_chat_history` tool retrieves the entire recent message thread. This gives your agent deep conversational context. It's better than just seeing the last few messages; it shows the flow of conversation over time.

Check Wati contact profiles

The `get_whatsapp_contact_details` tool pulls comprehensive profile information for any given WhatsApp number. Your agent acts on this data like a first-class citizen. This ensures your business logic knows exactly who it's talking to before making an API call.

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

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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 MCP Server exposes the WhatsApp tools, and Google ADK handles running those calls within your larger Vertex AI or BigQuery pipeline. It treats Wati like just another data source.
Yes. You can call `list_whatsapp_templates` to see every template—both approved and pending—in your account, letting your agent verify what's available for sending.
You can send free-text session messages using `send_session_message`, or you can use the structured approach of a template message. The agent decides which method fits the conversation.
Absolutely. Run `list_whatsapp_contacts` to get a complete list of every contact stored within your Wati CRM, making sure nothing falls through the cracks.
This server touches phone numbers and profile details. You're working with sensitive communication records, so make sure your BigQuery setup has proper access controls in place.

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