How to Use the DeepL MCP in Cursor

Q: How does Cursor use DeepL to translate raw code strings?

Cursor executes translatetextstandard or translatehtmlmarkup directly on your selected code blocks. The agent processes the strings and replaces them inline, saving you from manual context switching.

Q: How does the DeepL MCP Server resolve language code mismatches in Cursor?

The editor queries getsourcelanguages and gettargetlanguages to find valid ISO codes. This prevents Cursor from feeding invalid language parameters to the translation API, saving you from failed API calls.

Q: Can Cursor write translation files using my existing DeepL glossaries?

Yes, Cursor reads your saved glossaries using getaccountglossaries. It then applies those specific terminology rules when generating localized JSON files, keeping your codebase copy consistent.

Translate code comments, HTML files, and UI strings using DeepL directly inside Cursor agent mode.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

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.

GDPR Free for Subscribers

Setup DeepL with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Translate HTML without breaking tags using the MCP Server

The server runs `translate_html_markup` to translate paragraph blocks and button labels while leaving your code classes untouched inside Cursor. To keep your localizations accurate, Cursor queries `get_target_languages` to verify which locales your codebase supports. The agent then writes clean, translated markup directly into your active editor tab.

Auto-apply company glossaries to code files

This tool calls `get_account_glossaries` to inspect your active dictionaries from the Cursor chat panel. If the agent needs to verify a specific word pairing, it triggers `get_glossary_dictionary`. This pulls the exact term mappings directly into your Cursor chat, so you can debug translation issues without opening a browser.

Control translation tone in your editor chat

This integration runs `translate_text_formal` or `translate_text_informal` to adapt the tone of your UI copy programmatically inside Cursor. For general localization tasks, the editor defaults to `translate_text_standard` to keep things neutral. You get context-aware UI strings written straight to your JSON translation files during your coding sessions.

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-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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DeepL now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DeepL MCP in Cursor

Cursor executes `translate_text_standard` or `translate_html_markup` directly on your selected code blocks. The agent processes the strings and replaces them inline, saving you from manual context switching.

You don't need a terminal command. Your Cursor agent can call `get_api_usage` inside the chat panel to give you a real-time count of your remaining character balance and active subscription limits.

The editor queries `get_source_languages` and `get_target_languages` to find valid ISO codes. This prevents Cursor from feeding invalid language parameters to the translation API, saving you from failed API calls.

Yes, Cursor reads your saved glossaries using `get_account_glossaries`. It then applies those specific terminology rules when generating localized JSON files, keeping your codebase copy consistent.

Only the specific text strings and HTML translation payloads you select are transmitted to DeepL. The Vinkius sandbox ensures your code files and custom glossary mappings are processed in an isolated environment that completely wipes your data after execution.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript