DeepL MCP Server for VS Code Copilot 9 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"deepl": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
GitHub Copilot Agent mode brings DeepL data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 9 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the DeepL MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using DeepL
Ask Copilot: "Using DeepL, help me..." — 9 tools available
Why Use VS Code Copilot with the DeepL MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with DeepL through the Model Context Protocol.
VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
DeepL + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the DeepL MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
DeepL MCP Tools for VS Code Copilot (9)
These 9 tools become available when you connect DeepL to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting DeepL to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
DeepL + VS Code Copilot FAQ
Common questions about integrating DeepL MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect DeepL with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect DeepL to VS Code Copilot
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.