How to Use the Wati MCP in OpenAI Agents SDK

Q: How do I check Wati status with OpenAI Agents SDK?

You call the checkwatistatus tool. This confirms your connection to the WhatsApp API is active before any agent workflow begins, so you know it's ready for action.

Q: Does the MCP Server support bulk messaging for Wati with OpenAI Agents SDK?

Yes. You can list and send messages in batches by calling listbroadcasts. This tool is designed specifically for scaling your outreach efforts across many users.

Q: If I hit an error, where does the MCP Server show data? Wati with OpenAI Agents SDK

The agent logs all messages sent using listmessages. This gives you a clear record of what happened and helps pinpoint exactly when or why a message failed to deliver.

Q: What specific data does the MCP Server touch regarding privacy? Wati with OpenAI Agents SDK

The server manages contact attributes. When an agent uses updatecontact, it modifies user profile data, which is the primary piece of personal information handled.

Automate WhatsApp outreach for your OpenAI Agents SDK.

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Connect Wati MCP to OpenAI Agents SDK

Create your Vinkius account to connect Wati to OpenAI Agents SDK 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 Wati with OpenAI Agents SDK

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Manage Contacts with the MCP Server

The `add_contact` tool lets agents onboard new users instantly. You can then use `update_contact` to keep records current, ensuring your agent always has fresh user data. This means your production system doesn't need a separate CRM lookup just to check details or list existing contacts using `list_contacts`. It keeps the workflow contained.

Send Targeted Messages with OpenAI Agents SDK

Need to send an outreach? The agent calls `send_template_message` for structured messages, or uses `send_session_message` when talking one-on-one. You'll also need `send_media_message` if the conversation requires images or documents. These tools give your OpenAI Agents SDK direct access to WhatsApp’s API structure so you can handle both bulk broadcasts via `list_broadcasts` and personalized chats.

Build Messaging Logic with MCP Server

The agent uses the `get_template` tool before sending, guaranteeing that any message sent is compliant and properly formatted. It can also call `list_templates` to see every available option for outreach. If you need to keep track of what messages went out, your AI client can use `list_messages` to pull the full history, making debugging straightforward.

Setup guide

Set up Wati MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Wati tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Wati tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Wati tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Wati Agent",
            instructions="You have access to Wati tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Wati MCP in OpenAI Agents SDK

You call the `check_wati_status` tool. This confirms your connection to the WhatsApp API is active before any agent workflow begins, so you know it's ready for action.

The server handles standard contact attributes and message content. Specifically, you manage user identifiers when using `update_contact` or retrieving details via `get_contact`.

Yes. You can list and send messages in batches by calling `list_broadcasts`. This tool is designed specifically for scaling your outreach efforts across many users.

The agent logs all messages sent using `list_messages`. This gives you a clear record of what happened and helps pinpoint exactly when or why a message failed to deliver.

The server manages contact attributes. When an agent uses `update_contact`, it modifies user profile data, which is the primary piece of personal information handled.

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