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How to Use the Transifex MCP in Google ADK

Run Transifex localization tasks on Google ADK for enterprise agents.

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Google ADK

Connect Transifex MCP to Google ADK

Create your Vinkius account to connect Transifex 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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Mapping Projects with the MCP Server

The agent can list all organizations via `list_organizations`, giving it a starting point. Following that, calling `list_projects` allows your AI client to map out every project within Transifex, optionally filtering by an organization ID.

Retrieving Specific Resource Data

To get precise data, the agent calls `get_resource`, which needs specific slugs for the org, project, and resource. It also offers `get_resource_string` if you only need one single string's content.

Managing Localization Scope

You can find all available languages using `list_languages`, or get a specific language by running `get_language`. These tools help your agent define the exact scope of localization required in Transifex.

Setup guide

Set up Transifex 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Transifex 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="Transifex_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Transifex tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Transifex. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Transifex MCP in Google ADK

Yes. The agent uses `list_projects`, which lets you see every project ID, and you can optionally filter that list by a specific organization ID.
The listing provides two ways: `list_resource_strings` for all source strings on a resource, or `get_resource_string` if you just need one specific string's content.
It handles organizational slugs (o:org-slug), project slugs (p:project-slug), resource slugs, and language codes. The system is built to manage structured metadata.
The agent uses `get_language`. You pass the desired language ID (like 'pt_BR') and it returns the corresponding details. It also offers `list_languages` if you want to see all options.
This MCP Server touches organization slugs, project slugs, and resource strings. Always ensure your agent is restricted to only the necessary scopes for the operation you're running.

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