How to Use the DeepL MCP in VS Code Copilot

Q: How do we roll out the DeepL MCP Server to our team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root. Add the Vinkius server details and commit the file to Git. Every developer gets the tools automatically when they pull the branch.

Q: Can VS Code Copilot read our DeepL glossaries?

The agent queries your account using the getglossary tool. It then applies those specific rules to your code using the translatewithglossary endpoint.

Deploy DeepL to your entire engineering team via VS Code Copilot.

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Connect DeepL MCP to VS Code Copilot

Create your Vinkius account to connect DeepL to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DeepL with VS Code Copilot

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Standardize Localization in VS Code Copilot

The `translate_text` tool binds your AI client to a neural translation engine that understands context. Your team highlights hardcoded English strings in their React components, and Copilot replaces them with accurate French equivalents. Standard engines miss the technical nuance. This server hits the mark. Tone consistency matters across a large application. Developers use `translate_formal` for billing pages and `translate_informal` for onboarding tooltips. The agent writes the correct phrasing straight into your repository.

Share Custom Glossaries via MCP Server

The `translate_with_glossary` tool ensures every developer on your team uses the exact same terminology. You define your proprietary terms once using `create_glossary`. Copilot applies those rules automatically whenever a team member asks for a translation. Managing these shared dictionaries is straightforward. Your agent queries `list_glossaries` to find the right dictionary for the current project. When you need to update terms, it pulls the current list with `get_glossary_entries` so you know exactly what needs changing.

Validate Language Codes Instantly

The `list_source_languages` and `list_target_languages` tools prevent your team from hardcoding unsupported locales. Copilot checks the API first. It writes the correct ISO codes into your configuration files without you opening a browser tab. Tracking team consumption happens inside the editor. Any developer can ask Copilot to run `get_usage` to see how many characters remain on your billing cycle. If you are translating large manuals, `get_document_status` keeps tabs on the processing queue.

Setup guide

Set up DeepL MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the DeepL MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the DeepL tools listed. Try asking: "List my recent DeepL transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "deepl-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DeepL. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DeepL MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root. Add the Vinkius server details and commit the file to Git. Every developer gets the tools automatically when they pull the branch.

The agent queries your account using the `get_glossary` tool. It then applies those specific rules to your code using the `translate_with_glossary` endpoint.

You might have hit your character limit or used an invalid language code. Ask your agent to run `get_usage` or check supported pairs with `list_glossary_language_pairs`.

Yes. You must switch Copilot Chat to Agent mode for it to execute the translation tools. Regular chat mode cannot trigger external API calls.

Your proprietary markdown files and UI strings route through an isolated V8 sandbox managed by Vinkius. The execution environment is completely stateless and handles authentication securely before wiping the session data.

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