How to Use the MessageFlow MCP in OpenAI Agents SDK

Q: How do I connect MessageFlow to the OpenAI Agents SDK?

Install openai-agents via pip and initialize the MCP Server using the MCPServerStreamableHttp class. Pass your Vinkius HTTP endpoint token in the initialization parameters. Once registered, your agents discover all ten communication tools automatically.

Q: Do I need to manually define schemas for SMS and WhatsApp tools?

No, the MCP Server exposes strict schemas for sendsms and sendwhatsapp directly to the client. Your agent reads these parameters and populates the recipient phone number and body automatically.

Build production agents that send SMS, email, and WhatsApp messages using the OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MessageFlow MCP to OpenAI Agents SDK

Create your Vinkius account to connect MessageFlow 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.

GDPR Free for Subscribers

Setup MessageFlow with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Send alerts across channels with OpenAI Agents SDK

The `send_generic_message` tool lets your agent route notifications through SMS, WhatsApp, or email based on user preferences. You don't have to write custom routing logic for every channel. The agent inspects the available channels using `list_channels` and fires the message. Run this inside OpenAI's execution stream via the MCP Server to get instant delivery tracing. If a channel fails, the agent reads the error and tries an alternative path without dropping the execution context.

Validate message templates before dispatch

The `get_template` tool pulls pre-approved message layouts directly into your agent's context. Your agent uses `list_templates` to find the exact asset needed for a specific user interaction. This prevents the model from hallucinating text or sending unapproved copy to customers. Because the OpenAI SDK enforces strict guardrails, you can block the agent from modifying the core variables. It simply populates the placeholder fields and triggers `send_sms` or `send_whatsapp` with the exact verified format.

Monitor balances and message status automatically

The `get_account_balance` tool retrieves your current spending limit to prevent API failures due to empty accounts. Your agent checks this value before initiating bulk communication campaigns. This MCP tool ensures you never run out of funds mid-run. Tracking delivery is handled via `get_delivery_status` and `list_messages` to ensure every dispatch reaches its destination. You get clean execution logs directly in your dashboard without polling endpoints manually.

Setup guide

Set up MessageFlow 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 MessageFlow tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate MessageFlow 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="MessageFlow Agent",
            instructions="You have access to MessageFlow tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MessageFlow. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MessageFlow now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MessageFlow MCP in OpenAI Agents SDK

Install `openai-agents` via pip and initialize the MCP Server using the `MCPServerStreamableHttp` class. Pass your Vinkius HTTP endpoint token in the initialization parameters. Once registered, your agents discover all ten communication tools automatically.

Yes, the SDK's tracing system captures execution errors immediately. If `send_email` or `send_sms` returns a failure, your agent reads the error payload and can execute fallback logic like switching channels.

The MCP Server passes upstream API errors directly to your agent. You can configure your agent's guardrails to inspect these status messages and implement backoff delays before retrying.

No, the MCP Server exposes strict schemas for `send_sms` and `send_whatsapp` directly to the client. Your agent reads these parameters and populates the recipient phone number and body automatically.

All email bodies, phone numbers, and message logs processed by this MCP Server run inside an ephemeral, zero-trust V8 sandbox. Vinkius never writes your message content or contact lists to persistent storage, ensuring absolute transit isolation.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript