3,400+ MCP servers ready to use
Vinkius

DeepL MCP Server for Google ADKGive Google ADK instant access to 14 tools to Create Glossary, Delete Glossary, Get Document Status, and more

Built by Vinkius GDPR 14 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The DeepL app connector for Google ADK is a standout in the Ai Frontier category — giving your AI agent 14 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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_alternative_agent",
    instruction=(
        "You help users interact with DeepL "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)
DeepL
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

Connect your DeepL account to any AI agent and access neural machine translation through natural conversation.

Google ADK natively supports DeepL as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 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 Translation — Translate text into 30+ languages with optional formality control (formal, informal, or default)
  • Glossary-Powered Translation — Apply custom glossaries to ensure consistent terminology across translations
  • Glossary Management — Create, list, inspect, and delete custom glossaries with TSV term pairs
  • Language Discovery — List all supported source and target languages, and glossary language pair combinations
  • API Usage Monitoring — Track character count consumed, remaining quota, and billing period
  • Document Translation — Monitor the progress of submitted document translations

The DeepL MCP Server exposes 14 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.

All 14 DeepL tools available for Google ADK

When Google ADK connects to DeepL through Vinkius, your AI agent gets direct access to every tool listed below — spanning machine-translation, language-processing, glossary-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_glossary

Create a glossary

delete_glossary

Delete a glossary

get_document_status

Check document translation status

get_glossary

Get glossary details

get_glossary_entries

Get glossary entries

get_usage

Check API usage

list_glossaries

List glossaries

list_glossary_language_pairs

List glossary language pairs

list_source_languages

List source languages

list_target_languages

List target languages

translate_formal

Translate with formal tone

translate_informal

Translate with informal tone

translate_text

Translate text

translate_with_glossary

Translate using glossary

Connect DeepL to Google ADK via MCP

Follow these steps to wire DeepL into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 14 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.

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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

Example Prompts for DeepL in Google ADK

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

01

"Translate 'Welcome to our platform. We look forward to working with you.' into German (formal) and Brazilian Portuguese (informal)."

02

"Create a glossary for EN→FR with our brand terms and then translate a marketing paragraph using it."

03

"Check my DeepL API usage and list all available target languages."

Troubleshooting DeepL MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

DeepL + Google ADK FAQ

Common questions about integrating DeepL MCP Server with Google ADK.

01

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.
02

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.
03

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.