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How to Use the 1msg.io MCP in OpenAI Agents SDK

Trigger guardrail-validated WhatsApp communications directly from your OpenAI Agents SDK workflows.

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OpenAI Agents SDK

Connect 1msg.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect 1msg.io 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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Validate WhatsApp templates within OpenAI Agents SDK

The `list_templates` tool lets your agent pull pre-approved WhatsApp templates directly into your OpenAI Agents SDK runtime. This ensures your agent only selects approved message structures, avoiding template rejection errors before dispatching. By coupling this with `send_template`, your multi-agent system handles automated customer outreach with built-in guardrails. You prevent agents from inventing text, keeping communications strictly within compliance boundaries.

Track delivery state using this MCP Server

The `get_status` tool exposes the real-time operational state of your WhatsApp channel directly to your OpenAI Agents SDK supervisor agent. If a connection drops, the supervisor agent detects the failure instantly and routes tasks to a backup queue. This active monitoring prevents silent failures during heavy message runs. Your agent reads the status, decides whether to hold the queue, and logs the precise state to your OpenAI tracing dashboard.

Audit chat histories during agent handoffs

The `list_messages` tool retrieves your recent incoming and outgoing chat history so your OpenAI Agents SDK workflow maintains context. This MCP Server ensures your multi-agent setups pass complete context from one agent to the next without losing the conversation thread. You can also trigger `send_message` or `send_file` based on this history. The entire exchange is captured in your OpenAI run logs, giving you a clean audit trail of every automated WhatsApp interaction.

Setup guide

Set up 1msg.io 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 1msg.io tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives 1msg.io 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 1msg.io 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="1msg.io Agent",
            instructions="You have access to 1msg.io 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 1msg.io. 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 1msg.io MCP in OpenAI Agents SDK

Install the SDK, then initialize the connection using the MCPServerStreamableHttp class with your Vinkius endpoint. Pass this server instance in the mcp_servers list when constructing your agent to auto-discover the WhatsApp tools.
Yes, you configure this at the agent definition level in your Python code. You can limit your agent to only use `send_template` and `get_status` if you want to block it from sending raw text or custom files.
The SDK catches API errors returned by `send_message` or `send_file` as standard Python exceptions. Your agent can catch these exceptions, check the channel status via `get_status`, and attempt a retry or hand off the task.
Set the cacheToolsList parameter to True when you register the MCP Server. This stops the SDK from fetching the tool schema on every single agent turn, dropping your latency significantly.
Vinkius runs this server in an isolated, zero-trust V8 sandbox that destroys itself after execution. Your WhatsApp credentials and message payloads never persist on the host, ensuring your customer communications remain private.

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