How to Use the DeepL MCP in Cursor

Q: How do I configure DeepL in Cursor?

Create an mcp.json file in your project root folder. Paste the Vinkius remote URL under the mcpServers object. Toggle Agent mode on in the chat panel.

Q: Can Cursor translate my entire app with DeepL automatically?

Your agent handles file-by-file localization using the translatetext tool. You just need to prompt it to read your default language file and output the target languages.

Q: Does this support document translation?

The server includes a getdocumentstatus tool for tracking file translations. You handle the file upload logic in your code, and the agent monitors the progress.

Inject native DeepL translations directly into your codebase using Cursor.

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Connect DeepL MCP to Cursor

Create your Vinkius account to connect DeepL to Cursor 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 Cursor

Ask AI about this MCP

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Claude

Perplexity

Translate i18n JSON Files with Cursor

The `translate_text` tool connects your AI client straight to neural machine translation APIs. You highlight a massive block of English strings in your code editor, and Agent mode replaces them with native-sounding Spanish. Generic engines produce robotic text. This specific engine captures the actual meaning. Context dictates tone in software UI. You trigger `translate_formal` for enterprise dashboard alerts and `translate_informal` for consumer app notifications. Cursor writes the localized text directly into your source files.

Lock Down Brand Names in Your MCP Server

The `translate_with_glossary` tool forces the API to respect your specific product terminology. You don't want your app's name translated into literal German. Cursor pulls your existing dictionaries using `get_glossary` and applies them to the current code generation task. Building new rules takes seconds. Your agent runs `create_glossary` to define a new language pair, checks compatibility with `list_glossary_language_pairs`, and saves it. If a feature gets deprecated, `delete_glossary` removes the associated terms from your account.

Monitor Quotas During Large Refactors

The `get_usage` tool tracks your character limits before Cursor attempts to translate an entire directory. Running out of credits halfway through a localization sprint leaves your codebase broken. The agent checks the math first. Background tasks run smoothly when you know what the API supports. Cursor runs `list_source_languages` and `list_target_languages` to validate language codes before writing the API calls into your application logic. You skip the manual documentation lookup.

Setup guide

Set up DeepL MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the DeepL MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent DeepL transactions." If the MCP tools are loaded correctly, Cursor will call the DeepL tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/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 Cursor

Create an `mcp.json` file in your project root folder. Paste the Vinkius remote URL under the `mcpServers` object. Toggle Agent mode on in the chat panel.

Your agent handles file-by-file localization using the `translate_text` tool. You just need to prompt it to read your default language file and output the target languages.

Agent mode will throw an error when the API rejects the request. You should ask the agent to run the `get_usage` tool before starting massive string replacement jobs.

The server includes a `get_document_status` tool for tracking file translations. You handle the file upload logic in your code, and the agent monitors the progress.

Your application UI text passes through an ephemeral Vinkius sandbox that executes the API call and immediately self-destructs. The system operates on a strict zero-trust model, meaning your proprietary copy never touches persistent storage.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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