Bandwidth MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Bandwidth through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Bandwidth Assistant",
instructions=(
"You help users interact with Bandwidth. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Bandwidth"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Bandwidth MCP Server
Connect your Bandwidth account to any AI agent and take full control of your cloud communications stack through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Bandwidth through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Bandwidth, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
O que você pode fazer
- Messaging — Instantly blast SMS and MMS (with rich media attachments) explicitly bypassing legacy SIP pipelines
- 10DLC Campaigns — Validate 10DLC TCR profiling and approve messaging rules preventing carrier filtering
- Toll-Free Verification — Ping upstream toll-free approval headers checking compliance dynamically
- Logs & Media — Iterate over messaging histories, clear cached media payloads, and ensure API health routing
Como funciona
1. Subscribe to this server
2. Enter your explicit Bandwidth Account ID, Username, and Password
3. Start dispatching text alerts, querying delivery footprints, or managing assets from Claude / Cursor
Scale unified communications reliably without building massive custom Webhook architectures. Your AI agent handles the underlying CPaaS native complexity.
Para quem é?
- Support Teams — dispatch priority outage SMS blasts instantly out of Slack interfaces tracking message receipts
- Marketing Operators — audit 10DLC campaign health routing ensuring promotional texts never face upstream filtering blocks
- DevOps Engineers — ping the telecom backbone executing structural health tests before system scaling
The Bandwidth MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Bandwidth to OpenAI Agents SDK via MCP
Follow these steps to integrate the Bandwidth MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Bandwidth
Why Use OpenAI Agents SDK with the Bandwidth MCP Server
OpenAI Agents SDK provides unique advantages when paired with Bandwidth through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Bandwidth + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Bandwidth MCP Server delivers measurable value.
Automated workflows: build agents that query Bandwidth, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Bandwidth, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Bandwidth tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Bandwidth to resolve tickets, look up records, and update statuses without human intervention
Bandwidth MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Bandwidth to OpenAI Agents SDK via MCP:
delete_media
Delete a stored media asset
get_campaign
Get details for a specific 10DLC campaign
get_health
Ping Bandwidth API Health
get_toll_free
List toll-free number verifications
list_applications
List Messaging Applications
list_campaigns
List 10DLC messaging campaigns
list_media
List uploaded media files in Bandwidth storage
list_messages
List sent or received messages log
send_mms
Send an MMS message with media payload
send_sms
Send an SMS message via Bandwidth API
Example Prompts for Bandwidth in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Bandwidth immediately.
"Send an SMS from our main line +15551234567 to +18889990000 saying 'The server outage is fully resolved. Thank you.'"
"List all uploaded media files on our account and delete any named 'old-marketing-promo.png'."
"Ping the Bandwidth API Health check."
Troubleshooting Bandwidth MCP Server with OpenAI Agents SDK
Common issues when connecting Bandwidth to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Bandwidth + OpenAI Agents SDK FAQ
Common questions about integrating Bandwidth MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Bandwidth with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Bandwidth to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.