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How to Use the Konnektive MCP in Vercel AI SDK

Stream live Konnektive CRM data straight into your Next.js frontend with the Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Konnektive MCP to Vercel AI SDK

Create your Vinkius account to connect Konnektive 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.

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Stream CRM Data with Vercel AI SDK

Start by calling `query_konnektive_customers` to pull user profiles directly into your React components. The Vercel AI SDK streams this data as it resolves from the MCP Server. You don't wait for a massive JSON payload to finish downloading before the user sees their account history. When a support rep needs context, you fire `get_order_details`. The agent pulls the specific order and streams the line items straight to the dashboard. It feels instant because it is.

Render Live Transaction Histories

Fetch payment data on the fly using `query_konnektive_transactions`. Your AI client grabs the payment status and immediately pushes it to the UI. The user watches the transaction list build itself row by row. You can pair this with `get_konnektive_audit_logs` to show a live feed of system changes. If a billing error occurred, the exact log entry streams into the view. No spinner, just raw data appearing when the MCP Server returns it.

Handle Fulfillment Updates

Update shipping destinations from your frontend by calling `update_order_shipping_address`. The user types a new zip code, the agent submits the change, and the UI updates the moment the request clears. You can also map out warehouse locations with `list_fulfillment_houses`. Feed that into a map component. The agent pulls the coordinates and the pins drop onto the screen in real time.

Setup guide

Set up Konnektive 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 Konnektive 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 Konnektive 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 Konnektive. 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 Konnektive MCP in Vercel AI SDK

Run npm install @ai-sdk/mcp. Use createMCPClient with an HTTP transport pointing to your Vinkius endpoint, then pass mcpClient.tools() to your streamText call.
Yes. When you trigger query_konnektive_orders, the SDK pushes the chunks to your frontend as the MCP server fetches them. Your users see the data immediately.
It does. You can wire update_order_shipping_address to a chat interface. The user asks to change their delivery address, and the agent executes the tool call in the background.
Always call mcpClient.close() when your Edge Function finishes the tool execution. Leaving it open causes memory leaks in serverless environments.
Your AI client never stores the credit card data fetched by query_konnektive_transactions. The Vinkius V8 Isolate Sandbox reads the payment metadata, passes it to the transport layer, and destroys the container when the session ends.

Start using the Konnektive MCP today

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