Landbot MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Get Account Info, Get Customer Details, Handoff To Agent, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Landbot 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 Landbot app connector for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 12 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 Landbot, 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 Landbot MCP Server
Connect your Landbot account to any AI agent and manage chatbots through natural conversation.
The Vercel AI SDK gives every Landbot tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Bot Management — List bots, inspect configurations, and track performance
- Conversation Tracking — Browse conversations, read messages, and send replies
- Customer Database — List customers with engagement data and conversation history
- Flow Monitoring — Track chatbot flows and their conversion metrics
- Channel Management — Monitor WhatsApp, Web, and API channels
- Analytics — Access conversation metrics, response rates, and bot performance
The Landbot MCP Server exposes 12 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 12 Landbot tools available for Vercel AI SDK
When Vercel AI SDK connects to Landbot through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot, conversational-marketing, lead-capture, 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.
Check API status
Get user profile
Assign to human
List available bots
List chatbot users
Get event configs
List support agents
Send chat image
Send chat message
Send WA template
Start bot flow
Set user property
Connect Landbot to Vercel AI SDK via MCP
Follow these steps to wire Landbot 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 Landbot MCP Server
Vercel AI SDK provides unique advantages when paired with Landbot 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 Landbot integration everywhere
Built-in streaming UI primitives let you display Landbot 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
Landbot + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Landbot MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Landbot in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Landbot tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Landbot capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Landbot through natural language queries
Example Prompts for Landbot in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Landbot immediately.
"Show all bots with conversation counts and the latest customer conversations."
"Show the conversation flow and analytics for the Lead Qualifier bot."
"List all customers and send a reply to Ana's conversation."
Troubleshooting Landbot MCP Server with Vercel AI SDK
Common issues when connecting Landbot to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLandbot + Vercel AI SDK FAQ
Common questions about integrating Landbot 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.