How to Use the Localazy (AI Translation & Localization API) MCP in Google ADK

Q: How do I initialize Localazy (AI Translation & Localization API) with Google ADK?

Use McpToolset with StreamableHttpServerParameters pointing to the Vinkius URL. Pass this toolset into your LlmAgent constructor to expose the localization tools.

Q: Can I restrict which tools Localazy (AI Translation & Localization API) exposes to Google ADK?

Yes, you can use the optional toolnames filter in the ADK configuration. This limits the agent to specific actions like reading files without giving it delete permissions.

Q: How does the agent tag translation keys?

The agent uses setkeytags to batch-tag up to 1,000 keys at once. This helps organize your strings by feature or release version.

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Connect Localazy (AI Translation & Localization API) MCP to Google ADK

Create your Vinkius account to connect Localazy (AI Translation & Localization API) to Google ADK 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 Localazy (AI Translation & Localization API) with Google ADK

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Track localization progress

`list_projects` retrieves all active localization projects and language statistics from your account. Gemini agents use this data to calculate translation progress and detect missing locales. The agent checks files using `list_files` to verify which assets require translation. This feeds accurate status data back into your Google Cloud reporting tools.

Extract source keys inside this MCP Server

`list_file_content` extracts all translation keys and their current values for any target language. This gives your agent raw text data to analyze with Gemini's long-context window. You can download raw files using `download_file` to inspect the formatting. This lets your agent run quality checks on the localized text before deployment.

Automate localization event handlers

`update_webhooks` configures real-time event notifications for translation updates and file imports. This connects your translation project to Google Cloud Functions. Your agent retrieves the verification secret using `get_webhook_secret` to secure the incoming payload. This ensures your automated deployment pipelines only respond to verified events.

Setup guide

Set up Localazy (AI Translation & Localization API) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Localazy (AI Translation & Localization API) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Localazy (AI Translation & Localization API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Localazy (AI Translation & Localization API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Localazy (AI Translation & Localization API) MCP in Google ADK

Use `McpToolset` with `StreamableHttpServerParameters` pointing to the Vinkius URL. Pass this toolset into your `LlmAgent` constructor to expose the localization tools.

Yes, you can use the optional `tool_names` filter in the ADK configuration. This limits the agent to specific actions like reading files without giving it delete permissions.

Yes, this integration supports both Stdio and HTTP transports. For cloud-hosted enterprise agents, the managed MCP Server on Vinkius is the easiest way to connect.

The agent uses `set_key_tags` to batch-tag up to 1,000 keys at once. This helps organize your strings by feature or release version.

This MCP Server runs in an isolated memory environment where your files and glossary terms are transmitted directly to the API via SSL. The V8 sandbox on Vinkius processes these transactions in memory and destroys the environment immediately after execution.

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