How to Use the 123FormBuilder MCP in Vercel AI SDK

Q: How do I fetch specific submission data using Vercel AI SDK and 123FormBuilder?

Your agent can call getentrydetails to retrieve specific submission records. You simply pass the tool list to generateText, and the agent will locate the exact entry ID to pull the customer's answers. This bypasses the need to write complex API fetching logic.

Q: Can my Vercel AI SDK agent delete spam 123FormBuilder submissions automatically?

Yes, your agent can keep your inbox clean by invoking removeentry when it detects spam patterns in the text. You can write a system prompt that instructs the SDK to check submissions with listformentries and instantly delete the ones that match spam criteria.

Build real-time form dashboards in Next.js by streaming live 123FormBuilder submissions straight to your Vercel AI SDK UI.

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Connect 123FormBuilder MCP to Vercel AI SDK

Create your Vinkius account to connect 123FormBuilder 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 123FormBuilder with Vercel AI SDK

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Stream 123FormBuilder entries live in Vercel AI SDK

Your React frontend can show incoming form entries the millisecond they arrive when your agent calls `list_form_entries`. The agent handles the raw form payload behind the scenes and pushes clean, formatted text directly into the chat stream. Users watch live application metrics and customer feedback compile on their screens without annoying loading spinners or page refreshes.

Build forms dynamically during active chat sessions

You can let users generate fully functional web forms mid-conversation by instructing your agent to run `create_new_form`. This approach removes the friction of jumping to an external builder dashboard just to draft a simple survey. Your application handles the creation inline, updates the form name using `update_form_info`, and lets users review the layout immediately.

Inspect submission fields with zero latency

Your edge-rendered UI can instantly pull the exact structure of any form using `list_form_fields`. This setup runs entirely on edge functions, meaning you get fast response times without spinning up heavy server-side processes. Your UI stays responsive even when handling massive forms with dozens of custom fields.

Setup guide

Set up 123FormBuilder 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 123FormBuilder 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 123FormBuilder 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 123FormBuilder. 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

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Common questions about 123FormBuilder MCP in Vercel AI SDK

You need to configure the MCP connection using the Vinkius endpoint inside your project. Install the core packages using `npm install ai @ai-sdk/mcp` to get started. Remember to call `mcpClient.close()` when your application finishes processing the request to prevent memory leaks.

Yes, the Vinkius managed integration is fully compatible with edge runtimes. Because the server runs in a sandboxed V8 environment, your edge functions can quickly query form details without hitting cold starts. Just import the client and pass the tools directly into `streamText`.

Your agent can call `get_entry_details` to retrieve specific submission records. You simply pass the tool list to `generateText`, and the agent will locate the exact entry ID to pull the customer's answers. This bypasses the need to write complex API fetching logic.

Yes, your agent can keep your inbox clean by invoking `remove_entry` when it detects spam patterns in the text. You can write a system prompt that instructs the SDK to check submissions with `list_form_entries` and instantly delete the ones that match spam criteria.

Your form entries are fully protected. Every request runs inside an isolated V8 sandbox that destroys itself immediately after execution. Vinkius never stores your API keys or the content of your submissions, ensuring your customers' private data remains confidential.

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