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Vinkius runs on Vercel AI SDK

How to Use the OpnForm MCP in Vercel AI SDK

Stream OpnForm data straight into your Next.js frontend using the Vercel AI SDK. Build interactive form interfaces without loading spinners.

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Works with every AI agent you already use

…and any MCP-compatible client

OpnForm MCP on Cursor AI Code Editor MCP Client OpnForm MCP on Claude Desktop App MCP Integration OpnForm MCP on OpenAI Agents SDK MCP Compatible OpnForm MCP on Visual Studio Code MCP Extension Client OpnForm MCP on GitHub Copilot AI Agent MCP Integration OpnForm MCP on Google Gemini AI MCP Integration OpnForm MCP on Lovable AI Development MCP Client OpnForm MCP on Mistral AI Agents MCP Compatible OpnForm MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect OpnForm MCP to Vercel AI SDK

Create your Vinkius account to connect OpnForm to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Stream Form Data with Vercel AI SDK

The `get_form` and `list_forms` tools pull your workspace form structures directly into your AI client. You pass the MCP client to `streamText`, and the Vercel AI SDK pushes that data to your React frontend in real time. Users watch the form fields and conditional logic rules appear on their screen instantly. You avoid building custom API routes just to read form configurations.

Read Submissions Instantly

The `list_submissions` and `get_submission` tools let your edge functions query user responses on the fly. Your agent reads the incoming data and renders a summary dashboard for the end user immediately. If a user needs to wipe a record, your frontend triggers `delete_submission`. The Vercel AI SDK handles the execution while your UI updates automatically.

Generate Forms from Prompts

The `create_form` and `update_form` tools allow your application to build custom data collection endpoints based on user chat input. A user types what they need, and your agent writes the schema. You skip the manual drag-and-drop builder entirely. The AI generates the required fields, configures the file upload parameters, and returns the live link.

Setup guide

Set up OpnForm 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all OpnForm tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 OpnForm transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OpnForm. 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.

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 OpnForm MCP in Vercel AI SDK

Install `@ai-sdk/mcp`. You instantiate the client using `createMCPClient` with an HTTP transport pointing to your OpnForm MCP server URL. Call `mcpClient.tools()` and pass the array to `generateText`.
Yes. When your agent calls `list_submissions`, the SDK streams the raw JSON response directly to your UI. You map those incoming chunks to your React state.
The server itself runs on Vinkius. Your Next.js edge functions simply call the provided HTTP endpoint. You don't need to bundle heavy dependencies into your edge build.
Trigger the `update_form` tool from a chat prompt. Your agent modifies the existing form schema and the SDK immediately reflects those changes in your frontend preview.
The server handles raw user input from your forms. Vinkius runs this MCP connection inside an ephemeral V8 isolate sandbox. The token grants access to your workspace, but the runtime itself destroys the memory context the moment the connection closes.

Start using the OpnForm MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for OpnForm. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

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