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Lokalise MCP Server for Mastra AI 13 tools — connect in under 2 minutes

Built by Vinkius GDPR 13 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Lokalise through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "lokalise": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Lokalise Agent",
    instructions:
      "You help users interact with Lokalise " +
      "using 13 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Lokalise?"
  );
  console.log(result.text);
}

main();
Lokalise
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Lokalise tool infrastructure. Connect 13 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Lokalise MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 13 tools from Lokalise via MCP

Why Use Mastra AI with the Lokalise MCP Server

Mastra AI provides unique advantages when paired with Lokalise through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Lokalise without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Lokalise tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Lokalise + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Lokalise MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Lokalise, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Lokalise as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Lokalise on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Lokalise tools alongside other MCP servers

Lokalise MCP Tools for Mastra AI (13)

These 13 tools become available when you connect Lokalise to Mastra AI via MCP:

01

add_translation

Add translations to one or more keys

02

create_key

Create translation keys in a Lokalise project

03

create_project

Create a new Lokalise project

04

download_file

Generate a download bundle of translations

05

get_project

Get details of a specific Lokalise project

06

list_keys

List translation keys in a Lokalise project

07

list_languages

List languages in a Lokalise project

08

list_orders

List translation orders in your Lokalise account

09

list_projects

List all Lokalise projects

10

list_team_members

List all team members in your Lokalise account

11

list_translations

List translations for a key in a Lokalise project

12

update_key

Update an existing translation key

13

upload_file

Upload a localization file to a Lokalise project

Example Prompts for Lokalise in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Lokalise immediately.

01

"List all my Lokalise translation projects and show their current status."

02

"Create a new translation key 'checkout.success.message' in my Web App project for the web platform."

03

"Download all Portuguese (pt-BR) translations from my Mobile App project in JSON format."

Troubleshooting Lokalise MCP Server with Mastra AI

Common issues when connecting Lokalise to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Lokalise + Mastra AI FAQ

Common questions about integrating Lokalise MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Lokalise to Mastra AI

Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.