How to Use the ProTexting MCP in Vercel AI SDK

Q: How do I connect the ProTexting MCP Server to my Vercel AI SDK project?

Install @ai-sdk/mcp and create a client pointing to your Vinkius endpoint URL. Pass the tools from mcpClient.tools() directly into generateText or streamText to let your agent send messages.

Get real-time SMS delivery metrics and contact updates streaming directly to your React components with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect ProTexting MCP to Vercel AI SDK

Create your Vinkius account to connect ProTexting to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup ProTexting with Vercel AI SDK

Ask AI about this MCP

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Live SMS Delivery Tracking in Vercel AI SDK

The `get_message_status` and `send_sms` tools push text delivery updates directly into your edge-rendered UI. Your users see the status of their outgoing texts update on their screens without refreshing or waiting for polling cycles. By feeding these tools into `streamText`, your Next.js frontend displays delivery logs as they happen. This setup bypasses traditional backend queues, keeping your edge functions light and fast.

Dynamic Contact Creation via MCP Server

The `create_contact` and `list_contacts` tools allow your agent to build and update your customer database on the fly. When a user submits a form, the SDK feeds the data directly to the server, updating the list immediately. Your frontend displays these updates in real-time. Because the Vinkius MCP host handles the API keys, your client-side code stays clean and secure from exposure.

Direct Bulk SMS Dispatch

The `send_bulk` and `list_groups` tools execute large-scale text broadcasts directly from conversational prompts in your app. Your agent triggers these tools based on user instructions, target lists, and scheduled times. The streaming interface shows the bulk dispatch progress block by block. This means your users get immediate feedback on how many messages are queued without staring at a blank loader.

Setup guide

Set up ProTexting MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all ProTexting tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent ProTexting transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ProTexting. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ProTexting now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ProTexting MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and create a client pointing to your Vinkius endpoint URL. Pass the tools from `mcpClient.tools()` directly into `generateText` or `streamText` to let your agent send messages.

Yes. The integration runs on lightweight HTTP transport, making it fully compatible with Vercel Edge Runtime. It does not require heavy node-specific dependencies to execute tools like `send_sms`.

The SDK coordinates with the agent to split large requests before calling `send_bulk`. Your agent tracks status codes and manages pacing to stay within account limits.

No. Vinkius manages the authentication layer, so you only need a single endpoint token in your environment variables. Your code calls `check_protexting_status` without hardcoding raw credentials.

Your phone numbers and SMS content pass through an ephemeral, zero-trust V8 Isolate Sandbox. Vinkius never stores the contact details or message logs processed by `create_contact` or `send_sms`.

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