How to Use the Infobip (Omnichannel Communications) MCP in Vercel AI SDK

Q: How do I handle token rate limits when combining Infobip (Omnichannel Communications) with Vercel AI SDK?

You manage this by wrapping your createMCPClient call inside an Edge Function that limits concurrent executions. The model will only invoke dispatchsmsmessage or dispatchwhatsappmessage when explicitly prompted, preventing runaway API calls.

Q: Can I stream the output of an Infobip (Omnichannel Communications) dispatch using Vercel AI SDK?

Yes, you can pass the tool outputs from getdeliveryreports directly to streamText. The JSON payload containing message statuses streams into your UI components instantly.

Q: How do I clean up connections to the Infobip (Omnichannel Communications) MCP server in Vercel AI SDK?

Always call mcpClient.close() inside your API route cleanup or React lifecycle hooks. This prevents dangling connections and keeps your Next.js serverless functions light.

Stream Infobip omnichannel dispatches and customer CDP profiles directly into your Vercel AI SDK frontend in real-time.

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Connect Infobip (Omnichannel Communications) MCP to Vercel AI SDK

Create your Vinkius account to connect Infobip (Omnichannel Communications) 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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Setup Infobip (Omnichannel Communications) with Vercel AI SDK

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Stream Live Infobip Delivery Reports in Vercel AI SDK

This server connects your frontend to `get_delivery_reports` and `list_sms_logs` to feed live packet handoffs straight into your interface. By feeding these tools directly into your streaming UI, the client renders SMS delivery confirmations as they happen. You get raw latency metrics and dispatch logs visible in your UI without polling database backends via this MCP registry.

Instant Profile Syncs inside Next.js Edge Functions

This server exposes `upsert_crm_person` and `update_person_name` to handle immediate profile updates directly from your edge routing layer. When your AI client detects a change in user details during a chat, it fires these MCP tools to rewrite the People CDP registry. Your web app displays the updated customer profile immediately on the next render cycle.

Direct Multi-Channel Messaging from Chat Interfaces

This server provides direct access to `dispatch_whatsapp_message`, `dispatch_sms_message`, and `dispatch_html_email` so your agent can broadcast messages across channels. The model picks the best channel based on user input, calls the tool, and streams the output payload back to the React component. You write the frontend code while the model handles the actual channel routing.

Setup guide

Set up Infobip (Omnichannel Communications) 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 Infobip (Omnichannel Communications) 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 Infobip (Omnichannel Communications) 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 Infobip. 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.

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Common questions about Infobip (Omnichannel Communications) MCP in Vercel AI SDK

You manage this by wrapping your `createMCPClient` call inside an Edge Function that limits concurrent executions. The model will only invoke `dispatch_sms_message` or `dispatch_whatsapp_message` when explicitly prompted, preventing runaway API calls.

Yes, you can pass the tool outputs from `get_delivery_reports` directly to `streamText`. The JSON payload containing message statuses streams into your UI components instantly.

Always call `mcpClient.close()` inside your API route cleanup or React lifecycle hooks. This prevents dangling connections and keeps your Next.js serverless functions light.

Yes. The Vinkius endpoint uses HTTP transport to connect your MCP client without Node.js dependencies, running perfectly on Vercel's lightweight edge runtime.

The server processes phone numbers and email payloads inside ephemeral, zero-trust V8 isolates. No contact data or message logs are ever cached or stored on the Vinkius gateway.

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