How to Use the Dixa MCP in Vercel AI SDK

Stream real-time Dixa support data directly into your Vercel AI SDK frontends for live customer conversation monitoring.

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Connect Dixa MCP to Vercel AI SDK

Create your Vinkius account to connect Dixa 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 Dixa with Vercel AI SDK

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Live support queue tracking in Vercel AI SDK

Feed live support data into your React or Next.js components without the usual loading delays. Your Vercel AI SDK app calls `list_service_queues` and `list_open_support_tickets` to push status updates to the UI as they happen. This gives your users a direct view of current volume. It keeps your interface responsive while the underlying MCP server handles the heavy lifting.

Interactive agent audits for Vercel AI SDK

Query your support team's availability instantly using `quick_agent_presence_audit`. You can build dashboards that show who is online and available to handle incoming requests right in your browser. Combine this with `get_agent_profile` to display performance stats next to active tickets. It turns static support data into a dynamic view for your team.

Context-aware conversation retrieval

Let your AI client pull specific conversation details on demand. Use `search_conversations_by_subject` to find relevant history and `get_conversation_details` to present the full thread to your users. This keeps your application context-rich without cluttering the frontend state. It is a clean way to manage complex support histories within your existing stack.

Setup guide

Set up Dixa 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 Dixa 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 Dixa 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 Dixa. 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.

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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 Dixa MCP in Vercel AI SDK

Install the MCP client package and initialize it with your server endpoint. You then pass the tool definitions directly into your generateText or streamText calls.

Yes, because the tools stream results directly into your UI. Your frontend reacts to the data as soon as the MCP server returns the tool output.

The server uses isolated memory and ephemeral sessions. Your Dixa credentials never touch the client, and all traffic is restricted to the specific endpoints you define.

The MCP server reports the error back to your agent. You should implement basic retries in your client-side logic to handle these transient failures.

The server only exposes the metadata and content you explicitly query. It does not store or cache your sensitive support logs outside of the active session.

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