How to Use the AvoSMS MCP in OpenAI Agents SDK

Q: Does this setup support checking incoming messages?

The listresponses tool pulls recent replies. Your agent can read these strings and trigger secondary workflows based on user intent.

Build production messaging bots using AvoSMS and the OpenAI Agents SDK with built-in guardrails.

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Connect AvoSMS MCP to OpenAI Agents SDK

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

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Auto-discover SMS capabilities

Plug in the AvoSMS endpoint. Your agent instantly maps out every MCP tool available. The SDK yanks in `send_sms` and `list_responses` so you don't waste time writing manual schema definitions. Safety constraints live directly in the OpenAI dashboard. If a rogue agent tries to fire `delete_list` at your primary customer database, built-in guardrails kill the request before it hits the API.

Route AvoSMS MCP Server tasks

Complex messaging workflows require multi-agent handoffs. One specialized agent checks the `get_balance` endpoint, while another handles the actual outreach. Tracing shows you exactly which bot fired a message. When your billing agent notices low credits, it passes context to the admin agent to request a top-up rather than failing silently.

Manage sender identities

Spin up new campaigns by invoking `create_sender` directly through this MCP connection. The system handles the approval request while your script continues processing other tasks. Cleaning up old campaigns takes one call to `delete_sender`. Your deployment pipelines stay clean because the agent tears down temporary IDs when the job finishes.

Setup guide

Set up AvoSMS 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 AvoSMS tools at runtime.
3

Create your Agent

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

Run the agent

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

Instantiate MCPServerStreamableHttp using your Vinkius URL. Pass it into the mcp_servers array when constructing your Agent object.

Yes. Set cacheToolsList=True in your server parameters. This prevents the agent from re-fetching the tool schemas on every single execution.

You likely hit a guardrail limit or ran out of credits. Check the OpenAI tracing dashboard to see the exact payload the agent attempted to send. You can also run get_account_check to verify your connection.

The list_responses tool pulls recent replies. Your agent can read these strings and trigger secondary workflows based on user intent.

Phone numbers and message contents process inside an ephemeral V8 Isolate Sandbox. The environment destroys itself immediately after the API call completes, leaving zero residual data behind.

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