How to Use the Wati MCP in OpenAI Agents SDK
Build production agents for Wati using OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Manage and send templated messages
The `send_template_message` tool allows your agent to push pre-approved WhatsApp templates to specific users. You just need the template name and the target phone number. This mechanism ensures every message adheres to Wati's rules, keeping you compliant while letting your agent talk business.
Check contact details in Wati
Use `get_whatsapp_contact_details` when you have a phone number. It fetches the full profile data for that WhatsApp contact inside Wati. This means your agent doesn't just know the user exists; it knows their stored details, which is crucial context before sending a message.
Audit campaign history
The `list_broadcast_campaigns` tool lets your agent look up both active and previous WhatsApp broadcast campaigns. You can see what's running or what ran last quarter. It’s a quick way to audit your marketing efforts without jumping into the Wati dashboard manually.
Set up Wati MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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.
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()) 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 OpenAI Agents SDK
Use it with your favorite AI tools
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