Landbot MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
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 MCP SERVER
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 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
Engage your conversational pipelines through Landbot instantly using your AI assistant. Route leads, send custom programmatic messages to open channels, or check active interactions without checking external software tools.
The Vercel AI SDK gives every Landbot tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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: Oversee and pull active bot matrices.
- Customer Operations: Send automated text messages securely to connected accounts.
- Lead Routing: Reassign critical pipeline threads directly to live agents programmatically.
The Landbot MCP Server exposes 8 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 Landbot to Vercel AI SDK via MCP
Follow these steps to integrate the Landbot 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 8 tools from Landbot and passes them to the LLM
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
Landbot MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Landbot to Vercel AI SDK via MCP:
assign_agent
Route conversation from bot to live agent status
get_bot
Get a single bot details by ID
get_customer
Retrieve specific metadata of one customer
get_messages
Fetch the chat sequence messages for a given customer context
list_bots
List all accessible bots in Landbot
list_customers
List recent customers interacting with bots
search_customers
Search for a particular customer by email
send_text_message
Send a message programmatically to a customer conversation
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.
"List standard bots running active pipelines right now."
"Fetch the entire transcription log for customer ID 98453."
"Force assign the highest severity angry customer ticket to Agent Sarah."
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.Connect Landbot 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 Landbot to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.