How to Use the Courier MCP in OpenAI Agents SDK

Connect Courier to your OpenAI Agents SDK production pipeline for reliable notification dispatch and status tracking.

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Connect Courier MCP to OpenAI Agents SDK

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

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Monitor delivery logs in OpenAI Agents SDK

Your agent can grab `get_message_details` to inspect provider responses or `get_message_history` to confirm if a message hit the inbox. It tracks exactly what happened during the transit process. Debugging delivery failures becomes an automated task. You no longer need to manually check the dashboard when the agent can report back on status changes.

Manage recipient profiles via MCP Server

Use `get_user_profile` to pull contact data and current preferences directly into your agent logic. It keeps your notification logic synced with the latest user records. This MCP Server handles the lookup, so your agent stays focused on message generation. You get accuracy without writing custom data-fetching boilerplate.

Trigger cross-channel notifications

The `send_notification` tool allows your agent to push updates across multiple channels based on the templates you defined in `list_templates`. Your production agent system validates these actions through the SDK guardrails. It ensures every message sent matches your safety constraints.

Setup guide

Set up Courier 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 Courier tools at runtime.
3

Create your Agent

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

Run the agent

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

You call the message history tools directly through the agent interface. The agent pulls the specific event logs and processes them according to your defined logic.

Yes, setting cacheToolsList to True improves performance during agent initialization. It prevents redundant requests when the agent discovers available operations.

Absolutely. You can use the list tools to pull subscriber counts and manage recipients before triggering a mass notification run.

The server connection remains active as long as your agent instance lives. You manage the lifecycle using the provided async context manager.

We enforce strict transport security for every request. Only your authorized endpoint token grants access to sensitive message delivery logs and user contact details.

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