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How to Use the DeepL MCP in Claude Code

Pipe terminal outputs directly to DeepL using Claude Code for headless, automated translations.

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Claude Code

Connect DeepL MCP to Claude Code

Create your Vinkius account to connect DeepL to Claude Code 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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Build terminal translation pipelines with Claude Code

This DeepL MCP Server lets you translate text files directly from your CLI using Claude Code. You can run terminal commands to send raw text or files to `translate_text` and pipe the output to other CLI utilities. It makes translating log files, database exports, or documentation files fast and scriptable. Because Claude Code runs headlessly, you can integrate these translation tools into your local shell scripts. The agent handles the API requests and outputs clean, translated text straight to stdout.

Manage translation dictionaries via CLI

Claude Code uses `list_glossaries` and `get_glossary_entries` to display your active dictionaries directly in your terminal. You can audit your brand terms or check language pairs without opening a web browser. If you need to clean up old dictionaries, Claude Code can run `delete_glossary` on command. This terminal integration lets you script your glossary management. You can feed local text files to Claude Code and let it build new translation glossaries using `create_glossary` instantly.

Monitor translation budgets from the command line

This MCP Server exposes `get_usage` to let you monitor your API usage directly from Claude Code. You can check your consumed character count before running automated translation scripts in your terminal. It helps you keep your API costs under control during heavy localization runs. Claude Code prints the usage details directly to your terminal. You can easily integrate this check into your pre-translation shell scripts to prevent overages.

Setup guide

Set up DeepL MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see deepl-alternative-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest DeepL transactions." It will automatically discover and invoke the available DeepL tools.

Terminal
claude mcp add --transport http deepl-alternative-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Common questions about DeepL MCP in Claude Code

Run the install command to register the MCP Server in your config file. Claude Code will load the tools and make them instantly accessible in your terminal sessions.
Yes, you can tell Claude Code to read a file from a terminal path and run `translate_text` on it. The agent will output the translated content directly to your terminal or save it to a new file.
Ask Claude Code to translate your text. The agent will run `translate_with_glossary` via the MCP Server to ensure terminology is translated correctly.
Yes, Claude Code can run `list_source_languages` and `list_target_languages` to print all supported language codes. This helps you verify language pairs before running translation commands.
Your terminal text and glossary entries are transmitted via an encrypted Vinkius sandbox connection directly to DeepL. No translation data is cached or stored by Vinkius, keeping your command-line operations private.

Start using the DeepL MCP today

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