Typebot MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Delete Typebot, Get Typebot Details, List Folders, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Typebot 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 Typebot app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 8 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 Typebot, 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 Typebot MCP Server
Connect your Typebot account to any AI agent and simplify how you build, manage, and analyze your conversational assistants through natural conversation.
The Vercel AI SDK gives every Typebot 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 — List all typebots across your workspaces and folders, and retrieve detailed metadata and flow structures.
- Deployment Control — Publish the latest bot changes to production instantly without leaving your agent.
- Result Analysis — List and export user submissions and conversation results to track leads and performance.
- Organization Oversight — Manage workspaces and folders to keep your conversational projects structured.
- Session Testing — Programmatically start new chat sessions to verify bot logic and user experiences.
The Typebot 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.
All 8 Typebot tools available for Vercel AI SDK
When Vercel AI SDK connects to Typebot through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-builder, conversational-forms, automation, 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.
Permanently delete a typebot
Essential for reviewing the bot logic. Get details and structure for a specific typebot
Folders are used to group related typebots. List all folders in a workspace
Essential for data analysis and lead export. List collected user responses for a bot
Can be filtered by a specific workspace ID. List all conversational typebots
Workspaces contain folders and bots. List all accessible Typebot workspaces
Requires the unique bot ID. Publish and deploy the latest bot changes
Useful for testing bot flows or automated interactions. Programmatically start a new bot conversation
Connect Typebot to Vercel AI SDK via MCP
Follow these steps to wire Typebot 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 Typebot MCP Server
Vercel AI SDK provides unique advantages when paired with Typebot 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 Typebot integration everywhere
Built-in streaming UI primitives let you display Typebot 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
Typebot + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Typebot MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Typebot in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Typebot tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Typebot capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Typebot through natural language queries
Example Prompts for Typebot in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Typebot immediately.
"List all typebots in my current workspace."
"Show me the collected results for the 'Lead Gen Flow' bot."
"Publish the latest changes for bot 'bot_10293'."
Troubleshooting Typebot MCP Server with Vercel AI SDK
Common issues when connecting Typebot to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTypebot + Vercel AI SDK FAQ
Common questions about integrating Typebot 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.