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Proforms MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Job, Get Asset, Get Form, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Proforms through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The Proforms app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Proforms, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Proforms MCP Server

The Proforms MCP server allows your AI agent to query form responses, retrieve submission data, and list active forms natively. Analyze your collected data immediately through conversation without downloading CSV files.

The Vercel AI SDK gives every Proforms tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The Proforms MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Proforms tools available for Vercel AI SDK

When Vercel AI SDK connects to Proforms through Vinkius, your AI agent gets direct access to every tool listed below — spanning form-builder, data-collection, submission-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_job

Push a new job to a field worker

get_asset

Retrieve details for a specific asset

get_form

Retrieve details for a specific form

get_job

Retrieve details for a specific field job

get_me

Check API connectivity and get user context

get_submission

Retrieve details for a specific form submission

list_assets

List all registered equipment assets

list_forms

List all mobile forms

list_jobs

List all field jobs/tasks

list_submissions

List all data submissions for a specific form

list_users

List all back-office and field users

update_job

Modify an existing field job

Connect Proforms to Vercel AI SDK via MCP

Follow these steps to wire Proforms into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Proforms and passes them to the LLM

Why Use Vercel AI SDK with the Proforms MCP Server

Vercel AI SDK provides unique advantages when paired with Proforms through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Proforms integration everywhere

03

Built-in streaming UI primitives let you display Proforms tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Proforms + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Proforms MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Proforms in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Proforms tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Proforms capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Proforms through natural language queries

Example Prompts for Proforms in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Proforms immediately.

01

"List all active forms in my account."

02

"Fetch the latest responses for form ID 8901."

03

"Summarize the feedback from 'Customer Feedback Survey'."

Troubleshooting Proforms MCP Server with Vercel AI SDK

Common issues when connecting Proforms to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Proforms + Vercel AI SDK FAQ

Common questions about integrating Proforms MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.