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DataScope MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Get Submission Pdf Url, Get Submissions With Metadata, List Available Forms, and more

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

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Ask AI about this App Connector for Vercel AI SDK

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The DataScope app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 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 DataScope, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
DataScope
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 DataScope MCP Server

Connect your DataScope account to any AI agent and take full control of your mobile form data collection and field operations through natural conversation.

The Vercel AI SDK gives every DataScope tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Submission Orchestration — List and retrieve form submissions (answers) programmatically, using powerful filters for form IDs, users, and date ranges
  • Field Data Intelligence — Access detailed metadata for every submission, including question types and internal identifiers to coordinate data analysis
  • Form & User Architecture — Retrieve complete directories of available forms and registered organization users to oversee team collaboration in the field
  • Asset Retrieval — Programmatically retrieve secure PDF download URLs for specific form submissions to streamline reporting and auditing workflows
  • Visual Monitoring — Access tracked locations and field data collection points directly through your agent to maintain high-fidelity operational transparency

The DataScope MCP Server exposes 6 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 6 DataScope tools available for Vercel AI SDK

When Vercel AI SDK connects to DataScope through Vinkius, your AI agent gets direct access to every tool listed below — spanning mobile-forms, field-inspections, data-collection, 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.

get_submission_pdf_url

Get PDF URL for a submission

get_submissions_with_metadata

List submissions with detailed metadata

list_available_forms

List available forms

list_form_submissions

You can filter by form ID or user ID. List form submissions (answers)

list_organization_users

List all users in the organization

list_tracked_locations

List tracked locations

Connect DataScope to Vercel AI SDK via MCP

Follow these steps to wire DataScope 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 6 tools from DataScope and passes them to the LLM

Why Use Vercel AI SDK with the DataScope MCP Server

Vercel AI SDK provides unique advantages when paired with DataScope 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 DataScope integration everywhere

03

Built-in streaming UI primitives let you display DataScope 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

DataScope + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for DataScope in Vercel AI SDK

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

01

"List the last 5 form submissions for form ID '1024'."

02

"Show me all registered users in my DataScope organization."

03

"Get the PDF download link for submission ID 'ans_789'."

Troubleshooting DataScope MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

DataScope + Vercel AI SDK FAQ

Common questions about integrating DataScope 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.