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InfoVetted MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Cancel Active Vetting, Check Api Connectivity, Create Contact Group, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The InfoVetted app connector for Vercel AI SDK is a standout in the Human Resources 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 InfoVetted, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
InfoVetted
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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 InfoVetted MCP Server

Connect your InfoVetted account to any AI agent and manage background checks through natural conversation.

The Vercel AI SDK gives every InfoVetted 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.

What you can do

  • Vetting Requests — List all vetting requests, create new background checks, check status, and cancel active vettings
  • Screening Contacts — Manage contacts for screening with full profile data, create new screening contacts, and inspect individual records
  • Package Management — Browse available vetting packages and their included checks
  • Result Tracking — Monitor check results with pass/fail status and compliance details
  • Activity History — View submission and completion timelines

The InfoVetted 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 InfoVetted tools available for Vercel AI SDK

When Vercel AI SDK connects to InfoVetted through Vinkius, your AI agent gets direct access to every tool listed below — spanning background-screening, identity-verification, employment-checks, 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.

cancel_active_vetting

Cancel a background check

check_api_connectivity

Verify InfoVetted API status

create_contact_group

g., "Engineering Team"). Create a new organization group

create_new_vetting_check

Initiate a background check

create_screening_contact

Add a new individual for screening

get_contact_details

Get details for a specific individual

get_vetting_request_status

Check status of a vetting process

list_configured_webhooks

List active webhooks

list_contact_groups

List organizational contact groups

list_screening_contacts

List individuals being screened

list_supported_check_types

). List available background check types

list_vetting_requests

List all background check requests

Connect InfoVetted to Vercel AI SDK via MCP

Follow these steps to wire InfoVetted 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 InfoVetted and passes them to the LLM

Why Use Vercel AI SDK with the InfoVetted MCP Server

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

03

Built-in streaming UI primitives let you display InfoVetted 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

InfoVetted + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for InfoVetted in Vercel AI SDK

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

01

"Show all active vetting requests and create a new background check for a candidate."

02

"Check the status of Maria Silva's background check and list all screening contacts."

03

"Show completed vetting results and cancel the pending check for candidate #3."

Troubleshooting InfoVetted MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

InfoVetted + Vercel AI SDK FAQ

Common questions about integrating InfoVetted 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.