How to Use the Typeform MCP in Vercel AI SDK

Q: How do I check available forms with Typeform using Vercel AI SDK?

You call listforms to get a list of form IDs. This is the first step before you can grab details for any specific one. It's fast, so your agent can loop through them and build out context instantly.

Q: Can I see all my workspaces with Typeform and Vercel AI SDK?

Yeah, you use listworkspaces to get a directory of your entire setup. This shows every collection of forms you've built. It keeps everything clean under one roof for your agent to navigate.

Q: Does Vercel AI SDK support getting form structure? (Typeform)

Absolutely. The getformdetails tool provides all the question details and the overall form structure, which is exactly what you need to render a precise UI.

Q: What if I need to update form webhooks with Typeform and Vercel AI SDK?

You'd start by listing existing webhooks using listwebhooks. Then, you can use the destination URL and unique tag when calling createwebhook to make changes.

Get real-time form data streaming directly into your UI with Vercel AI SDK.

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Connect Typeform MCP to Vercel AI SDK

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

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Fetch Form Details in Vercel AI SDK

The `get_form_details` tool lets you pull the full structure of a specific Typeform. You immediately know exactly what questions the form asks and how they're organized. This is key for building dynamic interfaces because you get all the necessary metadata before rendering anything, making your UI feel instant.

Track Submitted Responses via MCP Server

Need to see what people are submitting? Use `list_responses` to pull collected data. You can filter these responses by date (`since`) or check if the form was completed. This lets your agent build a dashboard that doesn't rely on polling, just showing fresh results as they come in.

Manage Webhooks with Vercel AI SDK

The `list_webhooks` tool gives you visibility into which real-time alerts are set up for a form. It shows exactly what happens when someone hits submit. You can verify the setup before deploying, making sure your front end knows where to expect the push data.

Setup guide

Set up Typeform 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 Typeform 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 Typeform transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Typeform. 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 Typeform MCP in Vercel AI SDK

You call `list_forms` to get a list of form IDs. This is the first step before you can grab details for any specific one. It's fast, so your agent can loop through them and build out context instantly.

Yeah, you use `list_workspaces` to get a directory of your entire setup. This shows every collection of forms you've built. It keeps everything clean under one roof for your agent to navigate.

The server touches collected response data, which includes completion status and the answers submitted by users. Your AI client handles this streaming data type directly.

Absolutely. The `get_form_details` tool provides all the question details and the overall form structure, which is exactly what you need to render a precise UI.

You'd start by listing existing webhooks using `list_webhooks`. Then, you can use the destination URL and unique tag when calling `create_webhook` to make changes.

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