How to integrate Sms alert MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Sms alert to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Sms alert agent that can check my current sms credit balance, create a new contact group for marketing, fetch my available sender ids, list all sms templates in my account through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Sms alert account through Composio's Sms alert MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Sms alert
  • Configure an AI agent that can use Sms alert as a tool
  • Run a live chat session where you can ask the agent to perform Sms alert operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Sms alert MCP server, and what's possible with it?

The Sms alert MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sms alert account. It provides structured and secure access to your messaging platform, so your agent can send SMS, manage contacts and groups, handle templates, check balances, and create short URLs on your behalf.

  • Send and manage SMS messages: Let your agent send messages across SMS, RCS, Telegram, and WhatsApp channels using predefined templates or custom content.
  • Contact and group management: Easily create, delete, or organize contacts and groups, streamlining your customer engagement workflows.
  • Template and sender ID operations: Retrieve, create, or manage SMS templates and sender IDs to ensure consistent branding and efficient communication.
  • Credit balance and account monitoring: Ask your agent to check your current SMS credit balance and stay updated before launching campaigns or sending bulk messages.
  • Short URL generation: Automatically create short URLs for any long links you need to share, making your messages cleaner and more effective.

Supported Tools & Triggers

Tools
Get SMS Alert BalanceTool to retrieve the current sms credit balance.
Get Group DetailTool to retrieve details of a specific sms alert group.
Get Group ListTool to retrieve a list of sms alert groups.
Get Sender ID ListTool to fetch the list of available sender ids.
Get SMS Template ListTool to retrieve list of sms templates from your smsalert account.
Create New ContactCreate new contact
Create New GroupTool to create a new contact group.
Create Short URLTool to create a short url for a given long url.
Create SMS TemplateTool to create a new sms template.
Delete ContactTool to delete a specified contact.
Delete GroupTool to delete a specified group.
Delete Short URLTool to delete an existing short url.
Delete SMS TemplateTool to delete an existing sms template.
Edit ContactTool to edit an existing contact’s details.
Edit GroupTool to edit an existing groups name.
Update User ProfileTool to update user account profile details.
Edit SMS TemplateTool to edit an existing sms template.
Generate OTPTool to generate a one-time password (otp).
Get Sent SMS ReportTool to retrieve sms campaign sent report details.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Sms alert project
  • Some knowledge of Python or Typescript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Sms alert.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Sms alert Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["sms_alert"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only sms_alert.
  • The router checks the user's Sms alert connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Sms alert.
  • This approach keeps things lightweight and lets the agent request Sms alert tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Sms alert. "
        "Help users perform Sms alert operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Sms alert and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Sms alert operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Sms alert.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Sms alert and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["sms_alert"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Sms alert. "
        "Help users perform Sms alert operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Sms alert MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Sms alert.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

How to build Sms alert MCP Agent with another framework

Claude Agent SDK

Claude Agent SDK

Use Sms alert MCP with Claude Agent SDK

Google ADK

Google ADK

Use Sms alert MCP with Google ADK

LangChain

LangChain

Use Sms alert MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Sms alert MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Sms alert MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Sms alert MCP with LlamaIndex

CrewAI

CrewAI

Use Sms alert MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Sms alert MCP?

With a standalone Sms alert MCP server, the agents and LLMs can only access a fixed set of Sms alert tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Sms alert and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Sms alert tools.

Can I manage the permissions and scopes for Sms alert while using Tool Router?

Yes, absolutely. You can configure which Sms alert scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Sms alert data and credentials are handled as safely as possible.

Used by agents from

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Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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