Dexatel MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dexatel 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 Dexatel, 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 Dexatel MCP Server
Integrate Dexatel, the comprehensive cloud communications platform, directly into your AI workflow. Send SMS messages globally, monitor your messaging logs and delivery statuses, and manage your contact database using natural language.
The Vercel AI SDK gives every Dexatel tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Messaging Control — Send and receive SMS messages using your authorized Sender IDs and virtual numbers.
- Delivery Oversight — Monitor messaging logs in real-time, including technical delivery timestamps and carrier info.
- Contact Management — Access and manage your address book, including profiles and messaging history for specific contacts.
- Balance Monitoring — Track your account credit balance and API usage directly via chat.
The Dexatel MCP Server exposes 10 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 Dexatel to Vercel AI SDK via MCP
Follow these steps to integrate the Dexatel 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 10 tools from Dexatel and passes them to the LLM
Why Use Vercel AI SDK with the Dexatel MCP Server
Vercel AI SDK provides unique advantages when paired with Dexatel 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 Dexatel integration everywhere
Built-in streaming UI primitives let you display Dexatel 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
Dexatel + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dexatel MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dexatel in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dexatel tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dexatel capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dexatel through natural language queries
Dexatel MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Dexatel to Vercel AI SDK via MCP:
get_account_balance_metadata
Retrieve current balance and metadata for your Dexatel account
get_contact_profile
Get full profile and history for a specific contact
get_sms_message_details
Get detailed information for a specific SMS message
list_authorized_sender_ids
List all authorized Sender IDs and virtual numbers
list_failed_sms_deliveries
Identify SMS messages that failed to deliver (mock logic)
list_messaging_contacts
List all contacts stored in your Dexatel address book
list_sms_messages
List all sent and received SMS messages in your Dexatel account
list_sms_templates
List all approved message templates
search_sms_by_content
Search for SMS messages containing specific keywords or numbers
send_sms_message
Send a new SMS message to a specific number
Example Prompts for Dexatel in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dexatel immediately.
"Send an SMS to '+1234567890' saying 'Your order is ready!'."
"Show me the last 5 sent messages."
"What is my current account balance?"
Troubleshooting Dexatel MCP Server with Vercel AI SDK
Common issues when connecting Dexatel to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDexatel + Vercel AI SDK FAQ
Common questions about integrating Dexatel 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 Dexatel 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 Dexatel to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.