How to Use the DeepL MCP in Google ADK

Q: How do I restrict which DeepL tools are exposed to my Google ADK agent?

You can use the toolnames filter when initializing your McpToolset. This lets you limit the agent to safe tools like translatewithglossary while blocking administrative tools like deleteglossary.

Q: Does the DeepL MCP Server support regional language variations in Google ADK?

Yes. The agent can query listtargetlanguages to find specific regional dialects supported by the platform. This ensures your translated marketing copy matches local variations perfectly.

Feed Gemini long-context translation tasks directly from BigQuery using Google ADK and DeepL.

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Connect DeepL MCP to Google ADK

Create your Vinkius account to connect DeepL 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 DeepL with Google ADK

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Bulk BigQuery Document Translation with Google ADK

Enterprise agents can pull massive text blocks from BigQuery and translate them in chunks using this MCP Server. By exposing `translate_text` to your Gemini model, the agent processes thousands of rows of customer feedback in minutes. Gemini's million-token context window allows the agent to analyze the translated output for trends immediately. This eliminates the need to move data back and forth between separate translation scripts.

Multi-Language Glossary Sync on Google Cloud

Keep your global enterprise data consistent by syncing translation glossaries directly from Google ADK. The toolset exposes `list_glossaries` and `get_glossary_entries` so Gemini can reference approved company terminology. When translating complex cloud architecture documents, the agent calls `translate_with_glossary` to preserve technical terms. This keeps your engineering manuals accurate across thirty different target languages.

Resource Auditing for Google ADK Agents

Large-scale translation pipelines on Vertex AI can scale up costs quickly. This MCP Server lets your Google ADK agent call `get_usage` to track character consumption in real-time. You can write simple logic that halts the pipeline if the agent detects a sudden volume spike. The tool reports usage metrics directly to your cloud logging setup for easy auditing.

Setup guide

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

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Common questions about DeepL MCP in Google ADK

Yes. Your agent can read the files from Cloud Storage, pass the content to `translate_text`, and write the results back. Gemini's massive context window makes it easy to handle large blocks of text in a single pass.

You can use the `tool_names` filter when initializing your `McpToolset`. This lets you limit the agent to safe tools like `translate_with_glossary` while blocking administrative tools like `delete_glossary`.

Yes. The agent can query `list_target_languages` to find specific regional dialects supported by the platform. This ensures your translated marketing copy matches local variations perfectly.

No. Vinkius handles the API authentication on its secure infrastructure. Your Google ADK agent connects via a single endpoint token, so you do not have to store external credentials in your environment variables.

All customer text and glossary entries are processed in transit through secure HTTPS connections to DeepL. The Vinkius runtime environment is ephemeral and zero-trust, meaning your sensitive enterprise data is never cached on disk.

Use it with your favorite AI tools

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