AvoSMS MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AvoSMS 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="AvoSMS Assistant",
instructions=(
"You help users interact with AvoSMS. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AvoSMS"
)
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 AvoSMS MCP Server
Orchestrate your global mobile communication with AvoSMS, the high-performance messaging platform designed for scale. By connecting AvoSMS to your AI agent, you transform SMS outreach from a manual task into a natural conversation. Your agent can now send instant notifications, schedule future broadcasts, manage approved sender identities, and audit your contact lists without you ever touching a dashboard. Whether you're tracking customer responses or monitoring credit balances, your agent acts as a real-time mobile operations manager for your business.
The OpenAI Agents SDK auto-discovers all 11 tools from AvoSMS through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AvoSMS, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Precision Messaging — Send individual or scheduled SMS messages globally with full support for custom delivery timestamps.
- Identity Control — Request, list, and manage approved Sender IDs (names) to ensure your brand is always recognized.
- Contact Orchestration — Create and manage dedicated contact lists, adding recipients dynamically via natural language.
- Response Auditing — Retrieve and list incoming SMS responses to maintain a two-way dialogue with your audience.
- Account Health — Instantly check your remaining credit balance and verify account connectivity on the fly.
The AvoSMS MCP Server exposes 11 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 AvoSMS to OpenAI Agents SDK via MCP
Follow these steps to integrate the AvoSMS 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 11 tools from AvoSMS
Why Use OpenAI Agents SDK with the AvoSMS MCP Server
OpenAI Agents SDK provides unique advantages when paired with AvoSMS 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
AvoSMS + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AvoSMS MCP Server delivers measurable value.
Automated workflows: build agents that query AvoSMS, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AvoSMS, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AvoSMS tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AvoSMS to resolve tickets, look up records, and update statuses without human intervention
AvoSMS MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect AvoSMS to OpenAI Agents SDK via MCP:
add_contact
Add a contact to a list
create_list
Create a new contact list
create_sender
Request a new sender ID
delete_list
Delete a contact list
delete_sender
Delete a sender ID
get_account_check
Verify AvoSMS account connection
get_balance
Check remaining SMS credits balance
list_lists
List all contact lists
list_responses
List incoming SMS responses
list_senders
List all approved sender IDs
send_sms
Send an SMS message
Example Prompts for AvoSMS in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AvoSMS immediately.
"Send an SMS to +33600000000 saying 'Your order is ready for pickup!' using sender 'ShopAlert'."
"Check my AvoSMS credit balance and list recent replies."
"Add the phone number +123456789 to my 'VIP Customers' list."
Troubleshooting AvoSMS MCP Server with OpenAI Agents SDK
Common issues when connecting AvoSMS to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AvoSMS + OpenAI Agents SDK FAQ
Common questions about integrating AvoSMS 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 AvoSMS 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 AvoSMS to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.