# How to integrate Sms alert MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Sms alert MCP with Vercel AI SDK v6", "toolkit": "Sms alert", "toolkit_slug": "sms_alert", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/sms_alert/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/sms_alert/framework/ai-sdk.md", "updated_at": "2026-05-12T10:26:36.844Z" } ``` ## Introduction This guide walks you through connecting Sms alert to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Sms alert agent that can check your current sms credit balance, create a new contact group for marketing, fetch your available sender ids through natural language commands. This guide will help you understand how to give your Vercel AI 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. ## Also integrate Sms alert with - [OpenAI Agents SDK](https://composio.dev/toolkits/sms_alert/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/sms_alert/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/sms_alert/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/sms_alert/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/sms_alert/framework/codex) - [OpenClaw](https://composio.dev/toolkits/sms_alert/framework/openclaw) - [Hermes](https://composio.dev/toolkits/sms_alert/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/sms_alert/framework/cli) - [Google ADK](https://composio.dev/toolkits/sms_alert/framework/google-adk) - [LangChain](https://composio.dev/toolkits/sms_alert/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/sms_alert/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/sms_alert/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/sms_alert/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Sms alert integration - Using Composio's Tool Router to dynamically load and access Sms alert tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## 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 | Tool slug | Name | Description | |---|---|---| | `SMS_ALERT_CHANGE_PASSWORD` | Change User Password | Tool to change the password for the authenticated user account. Use when the user needs to update their account password. | | `SMS_ALERT_GET_BALANCE_CHECK` | Get SMS Alert Balance | Tool to retrieve the current SMS credit balance. Use when you need an up-to-date credit status before sending messages. If balance is low, gate high-volume sends before proceeding — insufficient credits cause messages to be silently dropped or rejected mid-campaign. | | `SMS_ALERT_GET_DELIVERY_REPORT` | Get SMS Delivery Report | Tool to retrieve delivery report for sent SMS messages by batch ID. Returns message delivery status including mobile numbers, delivery status, and timestamps. Use after sending SMS campaigns to track delivery success. | | `SMS_ALERT_GET_GROUP_DETAIL` | Get Group Detail | Tool to retrieve details of a specific SMS Alert group. Use after confirming the group ID. | | `SMS_ALERT_GET_GROUP_LIST` | Get Group List | Tool to retrieve a list of SMS Alert groups. Use when you need to fetch all groups associated with your account. Call after authenticating your API key. | | `SMS_ALERT_GET_SENDER_ID_LIST` | Get Sender ID List | Tool to fetch the list of available sender IDs. Use when you need to retrieve all sender IDs associated with your account. Use after configuring your API key. | | `SMS_ALERT_GET_TEMPLATE_LIST` | Get SMS Template List | Tool to retrieve list of SMS templates from your SmsAlert account. Use when you need to display or manage your SMSAlert templates. | | `SMS_ALERT_GET_USER_PROFILE` | Get User Profile | Tool to retrieve user login and profile information. Returns account details including balance, sender IDs, and account status. Use after configuring your API key to fetch complete user profile. | | `SMS_ALERT_POST_CREATE_CONTACT` | Create New Contact | Create New Contact | | `SMS_ALERT_POST_CREATE_GROUP` | Create New Group | Tool to create a new contact group. Use when needing to organize contacts into a new group. | | `SMS_ALERT_POST_CREATE_SHORT_URL` | Create Short URL | Tool to create a short URL for a given long URL. Use when you need to shorten a URL before sharing. | | `SMS_ALERT_POST_CREATE_TEMPLATE` | Create SMS Template | Tool to create a new SMS template. Use when you need to define reusable message content. | | `SMS_ALERT_POST_DELETE_CONTACT` | Delete Contact | Tool to delete a specified contact. Use after confirming the contact's ID. | | `SMS_ALERT_POST_DELETE_GROUP` | Delete Group | Tool to delete a specified group. Use after confirming the group's ID. | | `SMS_ALERT_POST_DELETE_SHORT_URL` | Delete Short URL | Tool to delete an existing short URL. Use after confirming the short URL's ID. | | `SMS_ALERT_POST_DELETE_TEMPLATE` | Delete SMS Template | Tool to delete an existing SMS template. Use when you have the template ID to remove it. | | `SMS_ALERT_POST_EDIT_CONTACT` | Edit Contact | Tool to edit an existing contact’s details. Use when you need to update a contact’s information after confirming the contact_id. | | `SMS_ALERT_POST_EDIT_GROUP` | Edit Group | Tool to edit an existing groups name. Use when you need to rename a group after confirming the group id. | | `SMS_ALERT_POST_EDIT_PROFILE` | Update User Profile | Tool to update user account profile details. Use when modifying authenticated user profile after login. | | `SMS_ALERT_POST_EDIT_TEMPLATE` | Edit SMS Template | Tool to edit an existing SMS template. Use when you need to update a template after confirming the template id. | | `SMS_ALERT_POST_GENERATE_OTP` | Generate OTP | Tool to generate a one-time password (OTP). Use when you need to send an OTP to a mobile number using a predefined template. | | `SMS_ALERT_POST_SENT_SMS_REPORT` | Get Sent SMS Report | Tool to retrieve SMS campaign sent report details. Use after campaigns are sent to analyze delivery results. Delivery status data may lag real time; treat results as non-final for time-sensitive workflows. | | `SMS_ALERT_SEND_SMS_XML` | Send SMS via XML | Tool to send SMS messages using XML format for bulk sending. Use when you need to send multiple messages to different recipients with different content in a single API call. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Sms alert MCP server is an implementation of the Model Context Protocol that connects your AI agent to Sms alert. It provides structured and secure access so your agent can perform Sms alert operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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 - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Sms alert tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Sms alert-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["sms_alert"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Sms alert tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to sms_alert, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Sms alert tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["sms_alert"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to sms_alert, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Sms alert agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Sms alert MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/sms_alert/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/sms_alert/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/sms_alert/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/sms_alert/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/sms_alert/framework/codex) - [OpenClaw](https://composio.dev/toolkits/sms_alert/framework/openclaw) - [Hermes](https://composio.dev/toolkits/sms_alert/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/sms_alert/framework/cli) - [Google ADK](https://composio.dev/toolkits/sms_alert/framework/google-adk) - [LangChain](https://composio.dev/toolkits/sms_alert/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/sms_alert/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/sms_alert/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/sms_alert/framework/crew-ai) ## Related Toolkits - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. - [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication. - [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack. - [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers. - [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity. - [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease. - [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace. - [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms. - [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates. - [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices. - [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels. - [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks. - [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission. - [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security. - [Google Meet](https://composio.dev/toolkits/googlemeet) - Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere. ## Frequently Asked Questions ### 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 Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)