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DeepL MCP Server for VS Code CopilotGive VS Code Copilot instant access to 14 tools to Create Glossary, Delete Glossary, Get Document Status, and more

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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.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

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

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The modern way to manage MCP Servers — no config files, no terminal commands. Install DeepL and 3,400+ MCP Servers from a single visual interface.

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Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "deepl-alternative": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
DeepL
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* 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.

GitHub Copilot Agent mode brings DeepL data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 14 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 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 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.

All 14 DeepL tools available for VS Code Copilot

When VS Code Copilot 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 VS Code Copilot via MCP

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

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using DeepL

Ask Copilot: "Using DeepL, help me...". 14 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.

01

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

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

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.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

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.

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 VS Code Copilot

Common issues when connecting DeepL to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

DeepL + VS Code Copilot FAQ

Common questions about integrating DeepL MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .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.