How to Use the Landbot MCP in Vercel AI SDK

Stream Landbot conversations directly into your React or Next.js UI using the AI SDK to build live, interactive chat experiences.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Landbot MCP to Vercel AI SDK

Create your Vinkius account to connect Landbot to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Landbot with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Real-time chat flow control with AI SDK

Trigger specific bot paths based on user input without refreshing the page. Your frontend reacts instantly when you invoke `trigger_bot_flow`. Everything happens in the stream. Your AI client pushes data to the browser, keeping the conversation fluid while avoiding clunky loading states.

Manage customer profiles in your UI

Pull user data into your dashboard components as the conversation progresses. You can fetch specific profiles using `get_customer_details` to populate your interface. Updating records is just as quick. Use `update_customer_field` to sync user input back to your database without leaving your app logic.

Automated proactive messaging

Send images or text notifications to users directly from your edge functions. Just call `send_proactive_text` or `send_proactive_image` to keep users engaged. This MCP Server handles the connection logic behind the scenes. Your code stays clean while the AI manages the message delivery timing.

Setup guide

Set up Landbot 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 Landbot 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 Landbot 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 Landbot. 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 Landbot now

Real-time monitoring

Live

visibility into every interaction

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

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Landbot MCP in Vercel AI SDK

Install the MCP client packages and point them to your server URL. You then pass the tool definitions into your streamText call to let the AI handle the interactions.

Yes. The server is built to run in lightweight environments, making it compatible with edge-based execution in your frontend framework.

Absolutely. Because the server returns results directly to your stream, your React or Svelte components can render the output as soon as the tool finishes.

It accesses your account, customer profiles, and active bot configurations. All data is scoped strictly to the API keys you provide during setup.

Your credentials never leave the Vinkius sandbox. The server uses your provided token to talk to the API, ensuring your sensitive account info remains isolated.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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