How to Use the Azure AI Search MCP in Vercel AI SDK

Query your Azure indexes directly from the Vercel AI SDK to stream search results into your React or Next.js frontends instantly.

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Connect Azure AI Search MCP to Vercel AI SDK

Create your Vinkius account to connect Azure AI Search 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 Azure AI Search with Vercel AI SDK

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Real-time index inspection in Vercel AI SDK

Stop guessing your index schema. Use `get_index` to pull configuration details right into your edge functions, ensuring your UI logic matches your cloud data structures. Your users get live updates as the AI interacts with the index. It eliminates the delay between data fetching and rendering.

Direct vector search for Vercel AI SDK apps

Feed `vector_search` outputs straight into your streamText calls. Your app handles high-dimensional similarity lookups without middle-tier bottlenecks. This keeps the data flow tight. The browser receives the search hits as they happen.

Full-text document queries for Vercel AI SDK

Run `search_documents` to pull specific records from your Azure environment. The Vercel AI SDK then formats these results for your end users. It removes the need for custom backend endpoints. You handle the logic in your TypeScript code.

Setup guide

Set up Azure AI Search 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 Azure AI Search 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 Azure AI Search transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Azure AI Search. 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 Azure AI Search MCP in Vercel AI SDK

Initialize the MCP client in your route handler and map the tools to your agent. You can then invoke `search_documents` directly inside your generateText function.

Yes. The tools stream data back through the SDK transport layer, letting you update your UI state as soon as the vector match returns.

Vinkius manages the endpoint tokens for you. You just provide the credentials to the Vercel AI SDK client configuration.

The server returns an error code through the MCP protocol. You catch this in your TypeScript code and handle it like any other API failure.

Your index keys stay strictly within the Vinkius sandbox. Only the specific search results requested by your agent are transmitted to your client.

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