zipperHQ MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Zipper Status, Get Account, Get Contact Views, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect zipperHQ 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 zipperHQ app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 10 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 zipperHQ, 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 zipperHQ MCP Server
Connect your zipperHQ account to any AI agent and take full control of your video email orchestration and automated personalized messaging through natural conversation.
The Vercel AI SDK gives every zipperHQ 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
- Video Portfolio Orchestration — List and manage your entire high-fidelity portfolio of video emails programmatically, retrieving detailed technical metadata and SKU IDs
- Recording & Status Intelligence — Programmatically monitor real-time recording statuses (Pending, Uploaded, Ready) to maintain a perfectly coordinated content pipeline
- Engagement Monitoring — Access real-time status updates for video views (e.g., 'Last Viewed') and track individual recipient interaction directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity video durations and session IDs to maintain a perfectly coordinated media record
- Operational Monitoring — Verify account-level API connectivity and monitor video orchestration volume directly through your agent for perfectly coordinated service scaling
The zipperHQ 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.
All 10 zipperHQ tools available for Vercel AI SDK
When Vercel AI SDK connects to zipperHQ through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-email, personalized-messaging, engagement-tracking, 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.
Verify ZipperHQ API connectivity
Get your ZipperHQ account info
Get video views for a specific contact
Get the 10 most recent videos
Get details of a specific video
Get analytics for a specific video
List all video recipients
List all screen recordings
List all video emails
Search videos by keyword
Connect zipperHQ to Vercel AI SDK via MCP
Follow these steps to wire zipperHQ 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 zipperHQ MCP Server
Vercel AI SDK provides unique advantages when paired with zipperHQ 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 zipperHQ integration everywhere
Built-in streaming UI primitives let you display zipperHQ 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
zipperHQ + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the zipperHQ MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query zipperHQ in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate zipperHQ tools and return structured JSON responses to any frontend
Chatbots with tool use: embed zipperHQ capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with zipperHQ through natural language queries
Example Prompts for zipperHQ in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with zipperHQ immediately.
"List all video emails sent today in my zipperHQ account."
"Show the view duration for the last video sent to 'Acme Corp'."
"Check for any video emails with 'Pending' recording status."
Troubleshooting zipperHQ MCP Server with Vercel AI SDK
Common issues when connecting zipperHQ to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpzipperHQ + Vercel AI SDK FAQ
Common questions about integrating zipperHQ 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.