How to Use the Wati Alternative MCP in OpenAI Agents SDK

Q: How do I handle Wati Alternative messaging using the OpenAI Agents SDK?

Your agent executes sendtemplatemessage to push pre-approved WhatsApp messages. This keeps your communication compliant while ensuring the message gets delivered through the proper channel.

Q: What if I need to check available chatbots with Wati Alternative and OpenAI Agents SDK?

You can retrieve a list of existing bots by calling getchatbots. This lets you audit your current setup before deploying new communication logic or making changes.

Q: Can I assign an operator after getting contact details using Wati Alternative and OpenAI Agents SDK?

Yes. After running getcontacts to verify the user, you can immediately follow up by calling assignoperator. This hands off the conversation to a specialized team member.

Q: Does the MCP Server support managing contacts with Wati Alternative and OpenAI Agents SDK?

Absolutely. The getcontacts tool pulls contact lists directly from Wati, giving your agent real-time access to who you're talking to.

Manage WhatsApp comms with OpenAI Agents SDK. Get contacts, assign operators, and send templates directly from your production agent workflow.

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Connect Wati Alternative MCP to OpenAI Agents SDK

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

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Send Pre-Approved Messages

Need to update a client on status? You can invoke `send_template_message` to dispatch approved WhatsApp messages. This handles the messaging logic, ensuring compliance while keeping the conversation moving forward. You'll use this when your agent needs to push information out—like appointment reminders or updates. It keeps your workflow clean and predictable.

Manage User Access

When a chat needs specialized attention, you can assign the right person using `assign_operator`. This tool routes incoming conversations to an expert agent so they don't get lost in general queues. It’s critical for support workflows. Instead of just logging the issue, your agent actively takes ownership and directs it to the correct human resource.

Retrieve Contact Data

Want to know who you're talking to? The `get_contacts` tool pulls a list of contacts from Wati. This lets your agent check if a user is already in your database before attempting contact. This prevents sending generic messages and ensures your conversational flow starts with accurate, known customer data.

Setup guide

Set up Wati Alternative 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 Alternative tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Wati Alternative 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 Alternative 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 Alternative Agent",
            instructions="You have access to Wati Alternative 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 Alternative MCP in OpenAI Agents SDK

Your agent executes `send_template_message` to push pre-approved WhatsApp messages. This keeps your communication compliant while ensuring the message gets delivered through the proper channel.

You can retrieve a list of existing bots by calling `get_chatbots`. This lets you audit your current setup before deploying new communication logic or making changes.

Yes. After running `get_contacts` to verify the user, you can immediately follow up by calling `assign_operator`. This hands off the conversation to a specialized team member.

Absolutely. The `get_contacts` tool pulls contact lists directly from Wati, giving your agent real-time access to who you're talking to.

This server handles structured contact information and WhatsApp communication history. Your agent processes fields like user IDs, contact names, and message content.

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