Lokalise MCP Server for Vercel AI SDK 13 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lokalise through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Lokalise, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Lokalise MCP Server
Connect your Lokalise account to any AI agent and take full control of your translation and localization workflows through natural conversation.
The Vercel AI SDK gives every Lokalise tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Project Management — List all translation projects, fetch detailed project metadata, and create new projects directly from the API
- Key Management — Query translation keys with filters by platform, tags, or filenames, plus create and update keys programmatically
- Translation Operations — Fetch translations for any key, add new translations with review/fuzzy flags, and manage multi-language content
- File Import/Export — Upload localization files (JSON, YAML, XLIFF) and generate download bundles in any supported format
- Team & Orders — List team members and their roles, plus inspect professional translation orders
The Lokalise MCP Server exposes 13 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Lokalise to Vercel AI SDK via MCP
Follow these steps to integrate the Lokalise MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 13 tools from Lokalise and passes them to the LLM
Why Use Vercel AI SDK with the Lokalise MCP Server
Vercel AI SDK provides unique advantages when paired with Lokalise through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Lokalise integration everywhere
Built-in streaming UI primitives let you display Lokalise tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Lokalise + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lokalise MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lokalise in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lokalise tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lokalise capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lokalise through natural language queries
Lokalise MCP Tools for Vercel AI SDK (13)
These 13 tools become available when you connect Lokalise to Vercel AI SDK via MCP:
add_translation
Add translations to one or more keys
create_key
Create translation keys in a Lokalise project
create_project
Create a new Lokalise project
download_file
Generate a download bundle of translations
get_project
Get details of a specific Lokalise project
list_keys
List translation keys in a Lokalise project
list_languages
List languages in a Lokalise project
list_orders
List translation orders in your Lokalise account
list_projects
List all Lokalise projects
list_team_members
List all team members in your Lokalise account
list_translations
List translations for a key in a Lokalise project
update_key
Update an existing translation key
upload_file
Upload a localization file to a Lokalise project
Example Prompts for Lokalise in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lokalise immediately.
"List all my Lokalise translation projects and show their current status."
"Create a new translation key 'checkout.success.message' in my Web App project for the web platform."
"Download all Portuguese (pt-BR) translations from my Mobile App project in JSON format."
Troubleshooting Lokalise MCP Server with Vercel AI SDK
Common issues when connecting Lokalise to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLokalise + Vercel AI SDK FAQ
Common questions about integrating Lokalise MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Lokalise with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lokalise to Vercel AI SDK
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.