How to Use the KPA Flex MCP in Vercel AI SDK

Q: How do I connect the KPA Flex MCP Server to Vercel AI SDK?

Run npm install ai @ai-sdk/mcp. Then instantiate the connection using createMCPClient({ transport: { type: "http", url: "..." } }). Pass the resulting tools into your text generation functions.

Q: Can Vercel AI SDK stream KPA Flex inspection reports to Next.js?

Yes. When your agent calls searchehsreports, the SDK pipes that data directly to your frontend components. Users watch the inspection data populate their dashboard instantly.

Q: Does the KPA Flex integration support OAuth through Vercel AI SDK?

The SDK handles authentication via the authProvider configuration. You pass the necessary token to the MCP endpoint, and the client manages the session.

Q: How do I close the KPA Flex MCP Server connection in Vercel AI SDK?

Always call mcpClient.close() when your stream finishes. This prevents memory leaks and orphaned connections in your Edge Functions.

Build live EHS dashboards in React with KPA Flex and Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect KPA Flex MCP to Vercel AI SDK

Create your Vinkius account to connect KPA Flex 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.

GDPR Free for Subscribers

Setup KPA Flex with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream KPA Flex MCP Server Data Live

`get_flex_site_stats` and `list_ehs_inspections` pump raw safety metrics straight into your Next.js frontend. The Vercel AI SDK streams these tool results directly to the user interface as they resolve. You skip the loading spinners entirely. When an EHS manager asks for recent failed inspections, the AI client pulls the data and renders the table instantly. Your React components update in real-time while the agent fetches the necessary compliance records.

Build Interactive Employee Profiles

`get_employee_ehs_profile` and `list_safety_trainings` grab specific worker certifications and training histories. You pass these tools into `streamText` to generate dynamic personnel cards on the fly. The end user sees the exact safety gaps appearing on their screen immediately. If an employee misses an OSHA requirement, your application surfaces that missing training record without waiting for a full page refresh.

Render Asset Audit Interfaces

`list_company_assets` and `get_inspection_details` pull equipment logs and hazard notes directly into your Svelte or Vue application. The AI handles the API calls while Vercel manages the HTTP transport layer. You build interfaces where users query heavy machinery status in plain English. The agent fetches the asset data and streams the exact maintenance requirements straight into the UI components.

Setup guide

Set up KPA Flex 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 KPA Flex 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 KPA Flex 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 KPA Flex. 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.

Connect KPA Flex now

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 KPA Flex MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp`. Then instantiate the connection using `createMCPClient({ transport: { type: "http", url: "..." } })`. Pass the resulting tools into your text generation functions.

Yes. When your agent calls `search_ehs_reports`, the SDK pipes that data directly to your frontend components. Users watch the inspection data populate their dashboard instantly.

The SDK handles authentication via the `authProvider` configuration. You pass the necessary token to the MCP endpoint, and the client manages the session.

Always call `mcpClient.close()` when your stream finishes. This prevents memory leaks and orphaned connections in your Edge Functions.

The server accesses safety training records and EHS profiles. Vinkius isolates every request inside a V8 sandbox, destroying the environment immediately after the query completes to prevent data leakage.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript