AvoSMS MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AvoSMS through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using AvoSMS, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every AvoSMS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the AvoSMS MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 11 tools from AvoSMS and passes them to the LLM
Why Use Vercel AI SDK with the AvoSMS MCP Server
Vercel AI SDK provides unique advantages when paired with AvoSMS through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same AvoSMS integration everywhere
Built-in streaming UI primitives let you display AvoSMS tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
AvoSMS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AvoSMS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AvoSMS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AvoSMS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AvoSMS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AvoSMS through natural language queries
AvoSMS MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect AvoSMS to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting AvoSMS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAvoSMS + Vercel AI SDK FAQ
Common questions about integrating AvoSMS MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.