Unbounce MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Get Lead, Get Me, Get Page, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Unbounce 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 MCP Server for Vercel AI SDK
The Unbounce MCP Server for Vercel AI SDK is a standout in the Growth Engine 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 Unbounce, 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 Unbounce MCP Server
Connect your Unbounce account to any AI agent and simplify how you manage your conversion-focused landing pages, lead data, and custom domains through natural conversation.
The Vercel AI SDK gives every Unbounce 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
- Landing Page Control — List and inspect all landing pages across your sub-accounts and retrieve detailed configuration metadata.
- Lead Analysis — List and query all leads submitted through your forms, and retrieve individual lead data for processing.
- Domain Oversight — List custom domains registered in your account to verify connectivity and SSL status.
- Account Organization — Manage sub-accounts and page groups to keep your marketing assets structured.
- Form Insight — List all form fields across page variants to understand your data collection points.
- User Monitoring — Fetch account details and verify your current Unbounce user profile.
The Unbounce MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Unbounce tools available for Vercel AI SDK
When Vercel AI SDK connects to Unbounce through Vinkius, your AI agent gets direct access to every tool listed below — spanning landing-pages, conversion-optimization, lead-generation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get lead on Unbounce
Get details for a specific lead
Get me on Unbounce
Get current Unbounce user details
Get page on Unbounce
Get details for a specific landing page
List accounts on Unbounce
List all Unbounce accounts
List domains on Unbounce
List custom domains
List form fields on Unbounce
List form fields for a page
List leads on Unbounce
List leads for a page
List page groups on Unbounce
List page groups
List pages on Unbounce
List pages for a sub-account
List sub accounts on Unbounce
List sub-accounts (clients)
Connect Unbounce to Vercel AI SDK via MCP
Follow these steps to wire Unbounce into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 Unbounce MCP Server
Vercel AI SDK provides unique advantages when paired with Unbounce 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 Unbounce integration everywhere
Built-in streaming UI primitives let you display Unbounce 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
Unbounce + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Unbounce MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Unbounce in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Unbounce tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Unbounce capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Unbounce through natural language queries
Example Prompts for Unbounce in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Unbounce immediately.
"List all landing pages in my sub-account '10293'."
"Show me the latest 5 leads from the 'Summer Promo' page."
"Check the status of custom domains in my account."
Troubleshooting Unbounce MCP Server with Vercel AI SDK
Common issues when connecting Unbounce to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUnbounce + Vercel AI SDK FAQ
Common questions about integrating Unbounce 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.Explore More MCP Servers
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