QuickReply.ai MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Contact, Get Broadcast, Get Contact Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect QuickReply.ai through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The QuickReply.ai app connector for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 QuickReply.ai, 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 QuickReply.ai MCP Server
Connect your QuickReply.ai account to any AI agent and simplify your WhatsApp automation and conversational marketing through natural conversation.
The Vercel AI SDK gives every QuickReply.ai 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
- Contact Management — List all WhatsApp subscribers, retrieve detailed profile metadata, and track user segments
- Messaging & Outreach — Send text messages or templates to recipients and monitor delivery status through your agent
- Broadcast Campaigns — Query past and scheduled broadcast campaigns to monitor your marketing reach
- Usage Tracking — Record custom user events and actions programmatically to feed your segmentation
- Template catalog — Query available pre-approved WhatsApp message templates for consistent outreach
The QuickReply.ai 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.
All 11 QuickReply.ai tools available for Vercel AI SDK
When Vercel AI SDK connects to QuickReply.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-marketing, conversational-commerce, customer-engagement, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new contact
Get details for a specific broadcast
Get details for a specific contact
Get details for a specific message template
List broadcast campaigns
List QuickReply.ai contacts
List WhatsApp templates
List contact segments
Send a WhatsApp message
Track a custom engagement event
Update an existing contact
Connect QuickReply.ai to Vercel AI SDK via MCP
Follow these steps to wire QuickReply.ai into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the QuickReply.ai MCP Server
Vercel AI SDK provides unique advantages when paired with QuickReply.ai 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 QuickReply.ai integration everywhere
Built-in streaming UI primitives let you display QuickReply.ai 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
QuickReply.ai + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the QuickReply.ai MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query QuickReply.ai in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate QuickReply.ai tools and return structured JSON responses to any frontend
Chatbots with tool use: embed QuickReply.ai capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with QuickReply.ai through natural language queries
Example Prompts for QuickReply.ai in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with QuickReply.ai immediately.
"List all contacts in QuickReply.ai."
"Show me all WhatsApp broadcast campaigns from this month with delivery and read rates."
"Send a personalized WhatsApp template message to all contacts in the VIP Customers segment."
Troubleshooting QuickReply.ai MCP Server with Vercel AI SDK
Common issues when connecting QuickReply.ai to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpQuickReply.ai + Vercel AI SDK FAQ
Common questions about integrating QuickReply.ai 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.