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How to Use the Messaggio MCP in OpenAI Agents SDK

Trigger high-volume SMS, Viber, and WhatsApp dispatches directly from your OpenAI Agents SDK workflows with built-in guardrails.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Messaggio MCP to OpenAI Agents SDK

Create your Vinkius account to connect Messaggio 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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Run Guarded Messaggio MCP Server Sends

The `send_simple_sms` tool allows your OpenAI Agents SDK pipeline to dispatch critical alerts without manual intervention. Because the SDK enforces runtime guardrails, your agent checks message templates against strict safety policies before hitting the carrier networks. You configure the agent to call `get_message_status` right after dispatching to track delivery metrics. The OpenAI dashboard traces these tool calls in real time, so you see exactly when a Viber or WhatsApp message changes state.

Coordinate Bulk Campaigns via Agent Handoffs

The `send_bulk` tool lets a specialized marketing agent handle massive contact lists using this MCP Server. Your primary agent gathers the audience data, then hands off the task to a messaging-specific agent that handles the actual payload distribution. This handoff pattern prevents your main conversational loop from getting bogged down during long-running operations. The agent uses `list_project_senders` to select the correct sender ID for each country, keeping your routing clean and compliant.

Inspect Sender Profiles and Templates Instantly

The `get_template` tool retrieves pre-approved text structures via our MCP integration so your OpenAI Agents SDK agent never drafts non-compliant messages. By reading direct configurations from your project, the agent dynamically populates variables for SMS or Viber on the fly. If a sender ID stops responding, the agent calls `get_sender` to verify configuration details before attempting another dispatch. You get immediate feedback on route status, which keeps your automated customer updates flowing without silent failures.

Setup guide

Set up Messaggio 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. 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. 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 Messaggio tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Messaggio 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="Messaggio Agent",
            instructions="You have access to Messaggio 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 Messaggio. 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.

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Common questions about Messaggio MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` and instantiate `MCPServerStreamableHttp` with your connection URL. Pass this instance inside the `mcp_servers` list to your Agent constructor, and set `cacheToolsList=True` to keep tool discovery fast.
Yes, your agent invokes the `get_message_status` tool to check the carrier-side state of any message. The OpenAI tracing dashboard logs this call, giving you a clear timeline of the delivery event.
If a `send_bulk` call fails or returns an error, the SDK's built-in guardrails catch the exception. You can configure a fallback agent to run `check_messaggio_status` to determine if the issue is a network timeout or an invalid credential.
You control this by having the agent call `list_templates` to fetch only verified templates from your account. The agent then matches the user's intent against this list, ensuring it never sends unapproved drafts.
This server processes phone numbers, API keys, and raw message body text inside an isolated V8 sandbox. Your credentials and recipient contact details are never stored on Vinkius servers, as all traffic routes through ephemeral, zero-trust tunnels directly to the provider.

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