How to integrate SimpleLocalize MCP with Mastra AI

This guide walks you through connecting SimpleLocalize to Mastra AI using the Composio tool router. By the end, you'll have a working SimpleLocalize agent that can list translation keys, create translation keys, export translations, manage tags, and review activity through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a SimpleLocalize account through Composio's SimpleLocalize MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

SimpleLocalize logoSimpleLocalize
Api Key

SimpleLocalize is a translation management platform for localization keys, translations, languages, imports, exports, and hosted environments. It helps teams ship multilingual apps faster with clean translation workflows and project-wide language control.

14 Tools

Introduction

This guide walks you through connecting SimpleLocalize to Mastra AI using the Composio tool router. By the end, you'll have a working SimpleLocalize agent that can list translation keys, create translation keys, export translations, manage tags, and review activity through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a SimpleLocalize account through Composio's SimpleLocalize MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate SimpleLocalize with

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes SimpleLocalize tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch SimpleLocalize tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your SimpleLocalize agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the SimpleLocalize MCP server, and what's possible with it?

The SimpleLocalize MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your SimpleLocalize account. It provides structured and secure access to your localization projects, so your agent can manage translation keys, update translations, organize tags, export content, and review project activity on your behalf.

  • Translation key management: Have your agent create, find, inspect, or permanently delete translation keys and their associated translations.
  • Translation updates: Instruct your agent to search translations and set text or review status for one or many languages.
  • Project organization: Let the agent create or delete tags and check available languages, tags, and hosting environments before making changes.
  • Translation exports: Direct your agent to review supported file formats and export a current snapshot of your translations in the format you need.
  • Activity review: Have your agent retrieve recent project changes so you can monitor localization work and investigate updates.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach SimpleLocalize through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for SimpleLocalize

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["simple_localize"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("SimpleLocalize MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "simple_localize" for SimpleLocalize access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the SimpleLocalize toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "simple_localize-mastra-agent",
    instructions: "You are an AI agent with SimpleLocalize tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        simple_localize: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and SimpleLocalize toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with SimpleLocalize and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["simple_localize"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      simple_localize: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "simple_localize-mastra-agent",
    instructions: "You are an AI agent with SimpleLocalize tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { simple_localize: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with SimpleLocalize through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

Every SimpleLocalize action and event your agent gets out of the box.

Create Tag

Create a project tag for organizing translation keys.

Create Translation Key

Create one translation key and optional metadata in the connected project.

Create Translation Keys

Create up to 100 translation keys and report every rejected entry; valid entries may still be created when others fail.

Delete Tag

Permanently delete one project tag by its exact name.

Delete Translation Key

Permanently delete one translation key, including all translations attached to it, by exact key and namespace.

Export Translations

Create downloadable snapshot URLs for project translations in a selected file format.

Get Project Context

Return the connected project and its current languages, tags, and hosting environments so an agent can choose valid identifiers before managing translations.

Get Translation Key

Return full metadata for one translation key selected by key and namespace.

List Activity

Return a manually selected page of recent project changes for operational visibility.

List File Formats

Return the file formats currently accepted by SimpleLocalize exports, including multi-language, beta, and deprecation metadata.

List Translation Keys

Search translation keys and return one controllable page of provider summary fields.

List Translations

Search translations by key, language, text, review state, or namespace and return one page.

Set Translation

Set the text and optional review state for one existing translation key and language.

Set Translations

Set 1 to 100 translations in one request.

FAQ

Frequently asked questions

With a standalone SimpleLocalize MCP server, the agents and LLMs can only access a fixed set of SimpleLocalize tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from SimpleLocalize and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right SimpleLocalize tools.

Yes, absolutely. You can configure which SimpleLocalize scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your SimpleLocalize data and credentials are handled as safely as possible.

Start with SimpleLocalize.It takes 30 seconds.

Managed auth, hosted MCP servers, and every SimpleLocalize tool your agent needs.Free to start.

Start building