How to Use the Crowdin MCP in Google ADK

Q: Can I filter Crowdin tools in the Google ADK?

Yes. Use the toolnames filter in your agent configuration to restrict which functions your agent can trigger.

Connect your Crowdin localization tasks to your Google ADK infrastructure for enterprise-grade automation.

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Connect Crowdin MCP to Google ADK

Create your Vinkius account to connect Crowdin 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 Crowdin with Google ADK

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Google ADK integration with Crowdin projects

Link your localization data directly to BigQuery by fetching project lists via `list_projects`. Your agent maps these results to your internal cloud infrastructure. This makes it trivial to aggregate translation progress across multiple teams. You get a unified view of your global assets inside your Google ADK environment.

Deep localization insights for Gemini agents

Query your translation history and costs with `list_project_reports`. Your Gemini-powered agent interprets these metrics to forecast localization spend. It handles complex data structures returned by the API. The agent acts on this information to generate reports or trigger alerts within your Google Cloud ecosystem.

Manage translation memories and glossaries

Access your terminology databases using `list_glossaries` and `list_translation_memories`. Your agent pulls these definitions to ensure your translations remain consistent. This server provides the raw data needed for long-context reasoning. Your Google ADK agent uses these references to maintain brand voice across every supported language.

Setup guide

Set up Crowdin 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 Crowdin 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="Crowdin_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Crowdin tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Crowdin. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Crowdin MCP in Google ADK

Yes. Use the McpToolset to plug this server into your agent. It supports both Stdio and HTTP transports for your Google Cloud deployments.

You can feed project metadata into your BigQuery tables. This allows your agents to query localized content alongside your existing business metrics.

Yes. Use the tool_names filter in your agent configuration to restrict which functions your agent can trigger.

Your project identifiers, file structure, and task statuses are transmitted over encrypted channels. We never store your credentials on our servers.

Yes. The Gemini models can ingest the massive JSON outputs from tools like `list_project_files` to reason over your entire localization tree.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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