What kind of Lokalise API token do I need for this integration?

You need a Personal Access Token from your Lokalise account. Go to your profile settings, find the API Tokens section, and generate a new token with read/write access to projects. Keep this token secure as it grants full API access to your account.

How do I add a new translation key to my Lokalise project via the AI agent?

Use the `create_key` action with the project ID, key name (e.g., `homepage.welcome.title`), and optionally specify platforms, tags, and a description. The key will be created with the base language placeholder ready for translation.

Can I export all my translations in a specific format like JSON or YAML?

Yes! Use the `download_file` action and specify the `format` parameter (e.g., `json`, `yml`, `xliff`, `strings`, `xml`). You can also filter by specific languages or filenames to generate targeted export bundles.

Is it possible to add translations programmatically for multiple languages at once?

Yes. The `add_translation` action supports adding translations for one or more keys at once. You can also mark translations as fuzzy or reviewed to indicate their quality status in the workflow.

Lokalise MCP Server for Google ADK 13 tools — connect in under 2 minutes

Name: Lokalise
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 13 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Lokalise as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="lokalise_agent",
    instruction=(
        "You help users interact with Lokalise "
        "using 13 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

Google ADK natively supports Lokalise as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 13 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Lokalise MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 13 tools from Lokalise via MCP

Why Use Google ADK with the Lokalise MCP Server

Google ADK provides unique advantages when paired with Lokalise through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Lokalise

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Lokalise tools with BigQuery, Vertex AI, and Cloud Functions

Lokalise + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Lokalise MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Lokalise and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Lokalise tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Lokalise regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Lokalise

Lokalise MCP Tools for Google ADK (13)

These 13 tools become available when you connect Lokalise to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Lokalise to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Lokalise + Google ADK FAQ

Common questions about integrating Lokalise MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.