How to Use the Lokalise MCP in Vercel AI SDK

Q: Can I automate Lokalise key creation in Vercel AI SDK?

Yes. You just invoke the createkey tool whenever your logic determines a missing string needs to be added to the project.

Q: Does Vercel AI SDK allow me to list Lokalise projects?

Absolutely. You can call listprojects to fetch your current dashboard state and let the AI decide which project needs attention.

Q: Is it possible to trigger translation downloads in Vercel AI SDK?

Use the downloadfile tool to pull bundles. This works perfectly within streaming responses to ensure your UI stays current.

Push translation updates to your frontends instantly with the Lokalise MCP Server and Vercel AI SDK.

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Connect Lokalise MCP to Vercel AI SDK

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

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Stream translation data to your UI

Your AI client pulls live localization strings using `list_translations`. It feeds these results straight into your edge functions so your users see updates the moment they happen. Stop waiting for manual deployments. By using `download_file` inside your stream, you push new language variants to your components as soon as your team hits save.

Manage keys from your TypeScript code

Need to add a new string? Use `create_key` directly within your AI logic. It keeps your code and your translation repository in sync without context switching. When things change, `update_key` modifies your existing entries on the fly. Your React or Next.js app reflects these changes immediately, keeping the developer experience tight and fast.

Automate file imports for your users

Trigger `upload_file` to send new source content to Lokalise without leaving your terminal. It handles the heavy lifting of moving assets into your projects automatically. Your AI client acts as the bridge between your dev environment and the translation team. Just define your workflow and let the server handle the file handoffs.

Setup guide

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

Install the MCP client package and point it at the server endpoint. From there, you simply pass the available tools into your generateText function calls.

Yes. You just invoke the `create_key` tool whenever your logic determines a missing string needs to be added to the project.

Absolutely. You can call `list_projects` to fetch your current dashboard state and let the AI decide which project needs attention.

Use the `download_file` tool to pull bundles. This works perfectly within streaming responses to ensure your UI stays current.

The server only touches your translation keys, project metadata, and localization files. Your credentials stay secure through the Vinkius-managed endpoint, and no raw source code is ever stored by the server.

Use it with your favorite AI tools

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