How to Use the Localazy (AI Translation & Localization API) MCP in Vercel AI SDK

Stream translation keys directly into your UI components using the Localazy (AI Translation & Localization API) with Vercel AI SDK.

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Connect Localazy (AI Translation & Localization API) MCP to Vercel AI SDK

Create your Vinkius account to connect Localazy (AI Translation & Localization API) 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 Localazy (AI Translation & Localization API) with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time content imports

Feed your translation files straight into the interface by calling `import_content`. Your users watch the updates happen as the stream hits your frontend. Stop waiting for background syncs to finish. The Vercel AI SDK handles these tool calls at the edge, so your localized content stays snappy.

Dynamic key management

Adjust your source keys on the fly during a conversation using `update_source_key`. It's the fastest way to fix a string without leaving your editor. You gain full control over your project structure. Your AI client pushes these changes instantly, keeping your translation files clean and accurate.

Glossary and metadata access

Pull project details or term definitions with `list_glossary_terms` and `list_files`. Your app gets the exact data it needs to render localized strings correctly. This keeps your translation logic tight. You aren't guessing at keys anymore; you're querying the source of truth directly through your MCP Server.

Setup guide

Set up Localazy (AI Translation & Localization API) 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 Localazy (AI Translation & Localization API) 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 Localazy (AI Translation & Localization API) transactions",
});

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

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Common questions about Localazy (AI Translation & Localization API) MCP in Vercel AI SDK

Yes. You just pass the tools to your streamText function. The results flow into your UI components instantly.

It uses the MCP client transport to talk to the server. You set up the HTTP connection once and the tools become available to your agents.

It works perfectly. Since the MCP Server runs as a standard HTTP endpoint, your edge functions communicate with it without extra latency.

You handle the error in your standard JavaScript try-catch block. The SDK gives you the full error response from the server.

The server only touches your specific localization keys and glossary terms. You control the scope of what the AI can see.

Use it with your favorite AI tools

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

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