How to Use the AidaForm MCP in Vercel AI SDK

Q: How do I connect the AidaForm MCP Server to Vercel AI SDK?

Install the @ai-sdk/mcp package and initialize the client using createMCPClient with your Vercel endpoint URL. Pass the tools directly into streamText or generateText so your agent can call them. Remember to call close() on the client when your session ends to prevent memory leaks.

Q: Can I stream form submissions live using AidaForm and Vercel AI SDK?

Yes. Your agent can call listresponses or getresponse and stream the JSON payloads directly into your React components. Because Vercel AI SDK supports UI streaming, users see submission data populate their screens in real-time.

Q: Can my agent export bulk response files?

Yes, your agent can run exportresponses to trigger a bulk export. It returns the download link or raw data, which your agent can then present directly to the user in the chat interface.

Build Next.js apps where your Vercel AI SDK client uses this MCP Server to stream live response data straight to the user's screen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AidaForm MCP to Vercel AI SDK

Create your Vinkius account to connect AidaForm 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.

GDPR Free for Subscribers

Setup AidaForm with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time form creation with Vercel AI SDK

The `create_form` tool lets your TypeScript frontend build custom web forms on the fly. Instead of making users wait for a full page reload, the Vercel AI SDK streams the form structure directly into your React or Next.js UI component as it gets generated. You can immediately modify active fields using `update_form` or wipe out outdated layouts with `delete_form`. This setup turns static data collection into a live, conversational builder experience inside your application.

Instant analytics streaming via MCP Server

The `get_form_analytics` tool feeds live performance data directly to your streaming dashboard. Your agent can read submission rates and drop-offs, then immediately present those metrics to your user without loading spinners. By combining this with `list_responses`, your application pulls raw submission data on demand. It lets you build instant reporting interfaces that feel incredibly fast because the data streams in chunk by chunk.

Workspace and response management on the edge

The `list_workspaces` tool maps out your entire form organization structure directly inside Edge Functions. Your AI client can quickly scan where forms live, check connectivity with `check_aidaform_status` using this MCP configuration, and find the right spot to store new templates. When users need to clean up their data, the agent calls `delete_response` or fetches specific entries using `get_response`. It keeps your database clean and compliant without spinning up heavy server-side infrastructure.

Setup guide

Set up AidaForm 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 AidaForm 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 AidaForm 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 AidaForm. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AidaForm now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AidaForm MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and initialize the client using `createMCPClient` with your Vercel endpoint URL. Pass the tools directly into `streamText` or `generateText` so your agent can call them. Remember to call `close()` on the client when your session ends to prevent memory leaks.

Yes. Your agent can call `list_responses` or `get_response` and stream the JSON payloads directly into your React components. Because Vercel AI SDK supports UI streaming, users see submission data populate their screens in real-time.

Vinkius manages the underlying API keys and credentials for you. In your TypeScript code, you just provide the single endpoint token using the `authProvider` configuration when setting up your MCP client.

Yes, your agent can run `export_responses` to trigger a bulk export. It returns the download link or raw data, which your agent can then present directly to the user in the chat interface.

Your form configurations, response data, and workspace details are protected by Vinkius's zero-trust V8 Isolate sandbox. Every call to `get_response` or `list_forms` runs in an ephemeral environment that is destroyed immediately after execution, ensuring no data is stored or leaked.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript