How to Use the QuickReply.ai MCP in Vercel AI SDK

Q: How does this QuickReply.ai Alternative connect to Vercel AI SDK?

You install the @ai-sdk/mcp package and set up an MCP HTTP transport client pointing to your Vinkius endpoint. From there, you pass the tools directly into streamText or generateText so your agent can execute them. Always call the close function when the session finishes to clean up resources.

Q: Can I stream WhatsApp message statuses using the QuickReply.ai Alternative with Vercel AI SDK?

Yes. When your agent calls tools like sendtemplate, the status and execution results stream directly to your frontend. This keeps your UI reactive without constant polling. Users get immediate confirmation that their message is on its way.

Q: What is the best way to handle drip campaigns in this QuickReply.ai Alternative using Vercel AI SDK?

Use the triggerjourneyevent tool to fire webhook events, which is the recommended method. The old triggerdripcampaign tool is still functional but will sunset in June 2026, so transition your streaming apps to journey events soon. This ensures your code remains compatible with future API updates.

Stream WhatsApp customer updates and live marketing metrics directly into your Next.js frontend 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 QuickReply.ai MCP to Vercel AI SDK

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

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Setup QuickReply.ai with Vercel AI SDK

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Stream live campaign data to your users

The `fetch_campaign_stats` tool pulls real-time messaging performance data directly into your streaming UI. Your AI client can trigger this call and immediately display delivery rates and open metrics to your marketing team without forcing them to wait for a full page reload. Keep in mind that this specific endpoint is scheduled to sunset in June 2026, so you should plan your long-term reporting UI around alternative event flows. By hooking this up to your Edge Functions, you get instant feedback loops. The Vercel AI SDK lets you pipe these raw numbers straight into UI components as they arrive. No loading spinners, no stale dashboards, just live performance data landing on the screen the second your agent grabs it.

Send templates and session texts on the fly

The `send_template` tool allows your AI client to dispatch pre-approved WhatsApp templates to users based on real-time triggers. When a customer replies, you can transition to free-form conversations using the `send_session_message` tool to handle custom support questions. This lets you keep messaging costs down by using session windows effectively before they close. Building this with the Vercel AI SDK keeps your chat interface responsive. Your agent can draft and send these messages in the background while the user sees the conversation update in real-time. It makes the entire messaging flow feel like a native chat app rather than a clunky automated script.

Trigger user journeys via Vercel AI SDK MCP Server

The `trigger_journey_event` tool acts as the recommended entry point for launching automated customer flows via Webhook Data Sources. Instead of relying on legacy drip setups, you pass custom user actions directly to this endpoint to kick off highly targeted WhatsApp sequences. If you still rely on older setups, the `trigger_drip_campaign` tool is also available, though you should note it will sunset in June 2026. This MCP Server integration ensures your Next.js application can react to user behavior instantly. When a customer abandons a cart or signs up, your agent detects the event and fires the webhook. This keeps your user engagement tight, fast, and completely automated without extra backend middleware.

Setup guide

Set up QuickReply.ai 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 QuickReply.ai 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 QuickReply.ai 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 QuickReply.ai. 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 QuickReply.ai now

Real-time monitoring

Live

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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

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Common questions about QuickReply.ai MCP in Vercel AI SDK

You install the `@ai-sdk/mcp` package and set up an MCP HTTP transport client pointing to your Vinkius endpoint. From there, you pass the tools directly into `streamText` or `generateText` so your agent can execute them. Always call the close function when the session finishes to clean up resources.

Yes. When your agent calls tools like `send_template`, the status and execution results stream directly to your frontend. This keeps your UI reactive without constant polling. Users get immediate confirmation that their message is on its way.

Use the `trigger_journey_event` tool to fire webhook events, which is the recommended method. The old `trigger_drip_campaign` tool is still functional but will sunset in June 2026, so transition your streaming apps to journey events soon. This ensures your code remains compatible with future API updates.

No. Vinkius handles all the authentication and token management behind the scenes. Your agent only needs a single endpoint token to securely run any of the five messaging tools.

All phone numbers, template payloads, and session messages pass through an ephemeral, zero-trust V8 isolate sandbox. Vinkius never stores your customer contact info or message contents, keeping your communication compliant and private.

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