How to Use the Bandwidth MCP in OpenAI Agents SDK

Run production SMS campaigns with OpenAI Agents SDK using safe, auto-discovered Bandwidth telephony tools with built-in guardrails.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Bandwidth MCP to OpenAI Agents SDK

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Secure SMS and MMS Delivery

`send_sms` sends text payloads directly through your OpenAI Agents SDK pipeline without manual API routing. Your production agents use this tool alongside `send_mms` to dispatch text and media payloads while OpenAI's tracing dashboard records every outbound payload. Because your agents run on the OpenAI Agents SDK, you can set up guardrails that inspect the payload before execution. If an agent tries to send a message that violates compliance, the SDK halts the execution before the Bandwidth API ever receives the payload.

Automated 10DLC Campaign Auditing

`list_campaigns` pulls active 10DLC registrations directly into your OpenAI Agents SDK environment for real-time compliance checks. The agent invokes this tool and `get_campaign` to verify that your messaging traffic aligns with registered carrier campaigns. The SDK handles handoffs between specialized agents, meaning one agent can flag a failing campaign while another halts outbound SMS traffic. This structure keeps your carrier reputation intact without requiring custom routing logic.

Managed Media Storage via MCP Server

`list_media` allows your OpenAI Agents SDK setup to query and manage files stored on Bandwidth's servers. Your agent checks the existing files, uploads new assets when necessary, and uses `delete_media` to clean up expired MMS attachments automatically. This MCP Server connection lets your agent handle media lifecycles entirely within its execution loop. You don't have to write custom storage code because the agent interacts with the files directly through the tool interface.

Setup guide

Set up Bandwidth 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 Bandwidth tools at runtime.
3

Create your Agent

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

Run the agent

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

Install openai-agents and instantiate MCPServerStreamableHttp with your connection URL. Pass this server instance inside the mcp_servers list when constructing your agent.

Yes, you can restrict tool exposure by configuring your MCP Server connection parameters. This prevents your agents from calling sensitive tools like delete_media while still allowing them to run send_sms.

The SDK automatically logs every tool execution to your OpenAI dashboard. When an agent calls list_messages or send_mms, you see the exact payload and response latency in your run history.

The server passes the raw API error back to the OpenAI Agents SDK. The agent receives the error context directly, allowing it to retry the call or hand off the task to a failure-handling agent.

All SMS logs, media attachments, and campaign details remain inside Vinkius's isolated V8 sandboxes. The server processes these telephony payloads temporarily and never stores them on external disks, ensuring your message content stays private.

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