Unbounce MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Unbounce through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 marketing workflows to any AI agent and take full enterprise control over global landing pages, captured leads routing, and real-time conversion monitoring natively via conversational commands.
The Vercel AI SDK gives every Unbounce tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through the 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
- Project & Sub-Account Control — Interrogate your organization's hierarchy grouping, natively verifying assigned domains before pushing any pages live
- Real-Time Lead Extraction — Fetch form submission pipelines continuously directly from targeted pages without battling CSV exports
- Variant Auditing — Read A/B testing splits mapped across single pages to identify statistically significant conversions rapidly
- Lead Obliteration — Trigger raw data-privacy deletions directly across specific captured accounts dropping rogue leads off the servers
The Unbounce MCP Server exposes 4 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.
How to Connect Unbounce to Vercel AI SDK via MCP
Follow these steps to integrate the Unbounce MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 4 tools from Unbounce and passes them to the LLM
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
Unbounce MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Unbounce to Vercel AI SDK via MCP:
domains
List custom domains configured in the account
leads
List leads/submissions for a specific landing page
pages
List landing pages in Unbounce
sub_accounts
List sub-accounts available to the user
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.
"Please list the verified domains available for publication underneath the specific main active sub-account."
"Summarize the conversion metrics and variant splits for the 'Enterprise Launch Q3' LP ID."
"Isolate the exact form submission metadata payload for lead ID 7709xxv-1123."
Troubleshooting Unbounce MCP Server with Vercel AI SDK
Common issues when connecting Unbounce to Vercel AI SDK through the 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.Connect Unbounce with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Unbounce to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.