Compatible with every major AI agent and IDE
Create glossary on DeepL
Create a glossary
Delete glossary on DeepL
Delete a glossary
Get document status on DeepL
Check document translation status
Get glossary on DeepL
Get glossary details
Get glossary entries on DeepL
Get glossary entries
Get usage on DeepL
Check API usage
List glossaries on DeepL
List glossaries
List glossary language pairs on DeepL
List glossary language pairs
List source languages on DeepL
List source languages
List target languages on DeepL
List target languages
Translate formal on DeepL
Translate with formal tone
Translate informal on DeepL
Translate with informal tone
Translate text on DeepL
Translate text
Translate with glossary on DeepL
Translate using glossary
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I control the formality of translations (formal vs. informal)?
Yes! Use translate_formal for professional communications (e.g., contracts, official correspondence) or translate_informal for casual content (e.g., social media, chat). The standard translate_text tool also accepts an optional formality parameter ('more', 'less', or 'default'). Note: formality control is available for select target languages including DE, FR, ES, PT-BR, and others.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with DeepL?
We map standard API endpoints to agent-compatible instructions. Connect DeepL to execute these core functional operations.
Secure machine translation Access for Agents
Deploy the DeepL toolkit to manage machine translation. The integration offers robust endpoints for ChatGPT to control ai frontier settings.
Optimizing language processing with Claude
The DeepL toolkit provides structured tools for language processing. It enables conversational interfaces like Claude Code to query and modify data within your ai frontier infrastructure.
DeepL. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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