How to Use the Transifex MCP in Google ADK
Run Transifex localization tasks on Google ADK for enterprise agents.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Transifex MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Transifex tools in your ADK agent.
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
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