How to Use the Everyware Payments & Messaging MCP in OpenAI Agents SDK

Q: How do I connect Everyware Payments & Messaging to OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance with your endpoint URL and pass it to your Agent constructor's mcpservers array.

Q: Can Everyware Payments & Messaging read SMS delivery statuses in OpenAI Agents SDK?

Yes. The agent calls getmessagedeliverystatus to see exactly what happened to an outbound text. It knows immediately if a carrier blocked the message.

Q: Does the agent handle pagination for large invoice lists?

You handle that in your system logic. The listdigitalinvoices tool returns the data, but your agent needs instructions on how to process large arrays without blowing up the context window.

Connect your OpenAI Agents SDK system to Everyware to handle payments and track SMS delivery in production environments.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Everyware Payments & Messaging MCP to OpenAI Agents SDK

Create your Vinkius account to connect Everyware Payments & Messaging 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 Everyware Payments & Messaging with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate dunning with the MCP Server

Your agent needs to know who owes you money before sending texts. Using `list_digital_invoices`, the system pulls the current pay-by-text requests directly into the agent's context. It checks `list_successfully_paid_transactions` to filter out customers who already settled their balances. You don't want an AI client spamming people. OpenAI guardrails catch the agent before it acts, while `list_customer_contacts` ensures it only targets registered profiles.

Track SMS delivery and payment volume

Firing off messages via this MCP Server means nothing if they drop. The agent hits `get_message_delivery_status` to confirm exact delivery states for individual texts. If a campaign stalls, it calls `list_sent_messages` to audit the outbound queue. Handoffs make this powerful. One agent monitors the communication side, then passes control to a finance agent that runs `get_payment_volume_summary` to map those texts to actual revenue.

Audit daily operations automatically

Stop pulling manual reports at the end of the day. A scheduled agent triggers `quick_everyware_operations_audit` to grab a high-level view of every payment, message, and contact created in the last 24 hours. When anomalies pop up, the agent digs deeper. It runs `get_payment_detailed_data` to inspect specific failing transactions, logging everything to your OpenAI tracing dashboard.

Setup guide

Set up Everyware Payments & Messaging 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 Everyware Payments & Messaging tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance with your endpoint URL and pass it to your Agent constructor's `mcp_servers` array.

Yes. The agent calls `get_message_delivery_status` to see exactly what happened to an outbound text. It knows immediately if a carrier blocked the message.

You handle that in your system logic. The `list_digital_invoices` tool returns the data, but your agent needs instructions on how to process large arrays without blowing up the context window.

You assign specific tools to specialized agents. A collections agent gets `list_processed_payments`, while a support agent gets `list_sent_messages` to check communication history.

Vinkius runs this MCP Server in an ephemeral V8 Isolate sandbox. The server reads transaction records and SMS logs, passes them to your agent, and immediately destroys the memory state. Nothing persists on our infrastructure.

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