How to Use the Typebot MCP in Vercel AI SDK

Q: How do I handle Typebot authentication with Vercel AI SDK?

You pass an authProvider to the MCP Client setup. This secures access to the Typebot MCP Server, ensuring only authorized users can call tools like gettypebotdetails.

Q: Can I list all available bots using Typebot and Vercel AI SDK?

Yep. Call listtypebots, filtering by the workspace ID if you know it. This gives your agent a clean list of every conversational bot that's ready to be interacted with.

Q: If I update a Typebot, how do I deploy it using Vercel AI SDK?

You use the publishtypebot tool. It requires the unique bot ID and handles deploying the latest changes to make them live for your users.

Q: What kind of actions can I perform with Typebot and Vercel AI SDK?

You can list workspaces, retrieve bot details via gettypebotdetails, or even simulate a user interaction using startchatsession to test flows.

See Typebot actions stream live into your UI using Vercel AI SDK.

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Connect Typebot MCP to Vercel AI SDK

Create your Vinkius account to connect Typebot 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 Typebot with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream Chat Session Results

You can programmatically start a conversation flow with `start_chat_session`. This makes testing the bot's real-time responses simple for your front end. The results stream directly into your UI, meaning users see data appear instantly—no loading spinner needed.

Export Bot User Data

Need to analyze leads? Use `list_typebot_results` to pull collected user responses for any bot. This gives you structured data ready to feed into your application’s backend models. This capability is critical when building full-stack products; you get the necessary raw lead data and can expose it through your AI client.

Manage Bot Workspaces

Before connecting a bot, check what's available with `list_workspaces`. This tells your agent exactly which environments exist for Typebot. It’s essential context when building user-facing product dashboards. If you need to deploy changes, the `publish_typebot` tool ensures that your AI client only attempts actions on fully deployed and stable bots.

Setup guide

Set up Typebot 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 Typebot 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 Typebot 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 Typebot. 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.

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Common questions about Typebot MCP in Vercel AI SDK

You pass an `authProvider` to the MCP Client setup. This secures access to the Typebot MCP Server, ensuring only authorized users can call tools like `get_typebot_details`.

Yep. Call `list_typebots`, filtering by the workspace ID if you know it. This gives your agent a clean list of every conversational bot that's ready to be interacted with.

You use the `publish_typebot` tool. It requires the unique bot ID and handles deploying the latest changes to make them live for your users.

The server primarily exposes conversational flow structures, workspace lists, and structured user responses (lead data). You'll get the raw JSON for all these elements.

You can list workspaces, retrieve bot details via `get_typebot_details`, or even simulate a user interaction using `start_chat_session` to test flows.

Use it with your favorite AI tools

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