How to Use the Termii MCP in OpenAI Agents SDK

Q: How does Termii integrate with OpenAI Agents SDK?

The agents auto-discover all your communication tools—like sendsms or sendwhatsapp—with zero config. You just pass the MCP Server, and your agent handles the rest of the tool calling automatically.

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Connect Termii MCP to OpenAI Agents SDK

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

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Check Communication Account Status

Need to know if you can afford the send? Use `check_balance` to pull your current account balance. This call gives you immediate visibility into spending before any message goes out. It's critical for production agents that they don't fail halfway through because of an unexpected cost spike. You get a clear number right away.

Managing Sender IDs with MCP Server

When you run `list_sender_ids`, your agent sees every registered ID you've got access to. This lets the system know exactly what sender names it can use for WhatsApp or SMS. If you're building a multi-tenant system, this tool is huge. You verify all possible identities upfront so the communication workflow never stalls.

Sending OTPs and Verifying Users

The `send_otp` tool lets your agent push one-time passwords out instantly via SMS or WhatsApp. It's perfect for user signups where you need immediate, secure verification. After sending it, don't forget to use `verify_otp`. This completes the loop by confirming the code provided matches what was sent, validating both the user and the channel.

Setup guide

Set up Termii 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 Termii tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Termii 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="Termii Agent",
            instructions="You have access to Termii 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 Termii MCP in OpenAI Agents SDK

The agents auto-discover all your communication tools—like `send_sms` or `send_whatsapp`—with zero config. You just pass the MCP Server, and your agent handles the rest of the tool calling automatically.

This MCP Server touches user identities and communication messages. It manages all things related to sending OTPs or standard SMS alerts across different channels.

Absolutely. The tools are designed for reliable delivery, meaning if one channel fails (say, WhatsApp), the agent can fall back to another method like SMS to finish the job.

Yes. Because it’s designed for production agents, you can chain calls—for example, `check_balance` first, then `send_otp`, and finally wait for the verification result.

It provides multi-channel sending capabilities. You can send messages via WhatsApp or SMS, ensuring maximum reach regardless of which channel is best for your African market users.

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