How do I find my DeepL API Key?

Log in to your [**DeepL account**](https://www.deepl.com/pro-account/plan), and you will find your Authentication Key under the 'Account' tab. Copy and paste it below.

Does this work with both Free and Pro API keys?

Yes. This server automatically detects if you are using a Free key (ending in `:fx`) or a Pro key and routes requests to the correct endpoint.

Can the agent use glossaries?

Yes. You can list your existing glossaries via the `get_glossaries` tool and identify their IDs to maintain consistency in your agent-led translations.

DeepL MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: DeepL
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add DeepL as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="deepl_agent",
    instruction=(
        "You help users interact with DeepL "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DeepL MCP Server

Empower your AI agent to orchestrate your entire multilingual workflow with DeepL, the world's most accurate AI translator. By connecting DeepL to your agent, you transform complex translation tasks into a natural conversation. Your agent can instantly translate text between dozens of languages, audit available language pairs, and monitor API usage without you ever touching a technical dashboard. Whether you are localized content or communicating with international teams, your agent acts as a real-time linguistic bridge, ensuring your communication is always precise and professional.

Google ADK natively supports DeepL as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Text Auditing — Translate text into target languages and retrieve detected source language metadata instantly.
Linguistic Oversight — List all supported source and target languages to maintain a clear view of translation options.
Usage Intelligence — Monitor your character count and API limits to maintain strict control over your translation budget.
Glossary Management — List and query configured translation glossaries to ensure consistent brand terminology.
Contextual Tone Control — Translate text enforcing strict formal, informal, or standard business tones instantly.
Markup Preservation — Translate HTML elements while safely preserving tag boundaries and web structure.

The DeepL MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DeepL to Google ADK via MCP

Follow these steps to integrate the DeepL MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from DeepL via MCP

Why Use Google ADK with the DeepL MCP Server

Google ADK provides unique advantages when paired with DeepL through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with DeepL

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine DeepL tools with BigQuery, Vertex AI, and Cloud Functions

DeepL + Google ADK Use Cases

Practical scenarios where Google ADK combined with the DeepL MCP Server delivers measurable value.

Enterprise data agents: ADK agents query DeepL and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine DeepL tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query DeepL regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including DeepL

DeepL MCP Tools for Google ADK (9)

These 9 tools become available when you connect DeepL to Google ADK via MCP:

get_account_glossaries

List configured translation glossaries

get_api_usage

Get current API usage and character limit constraints

get_glossary_dictionary

Get term mapping entries for a specific glossary ID

get_source_languages

List all supported source languages for translation

get_target_languages

g., EN-US, PT-BR) that DeepL can translate TO. List all supported target languages for translation

translate_html_markup

Translate HTML elements while preserving tag structure

translate_text_formal

g., "Sie" in German, "vous" in French) suitable for business communications. Translate text using a formal/business tone

translate_text_informal

g., "du" in German, "tu" in French) suitable for casual platforms. Translate text using an informal/casual tone

translate_text_standard

Translate text into a target language using standard tone

Example Prompts for DeepL in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with DeepL immediately.

"Translate 'Hello world' into Portuguese using DeepL."

"Show me all supported target languages in DeepL."

"What is my current DeepL usage?"

Troubleshooting DeepL MCP Server with Google ADK

Common issues when connecting DeepL to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

DeepL + Google ADK FAQ

Common questions about integrating DeepL MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.