How to Use the DeepL MCP in Claude Code

Q: How do I configure DeepL in Claude Code?

Add the server via the command line using the claude mcp add command. Ensure your transport and URL flags are set correctly in your config.

Integrate translation tasks into your terminal pipelines using Claude Code.

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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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Setup DeepL with Claude Code

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Headless translation with Claude Code

Run `translate_text_standard` inside your CI/CD scripts to automate localization. It works perfectly in non-interactive environments like GitHub Actions. You get reliable text output without a GUI. It is built for backend engineers managing multilingual assets in the terminal.

Pipeline text processing

Pipe file content into the translation tools to generate localized files on the fly. This avoids manual overhead during your build process. Claude Code connects directly to the server. Your translation logic becomes part of your standard shell operations.

Monitor translation metrics

Check your API status with `get_api_usage` as a step in your build pipeline. Fail the build if your character limit is approaching. This gives your DevOps workflow real-time feedback. You keep your translation costs predictable through CLI-based monitoring.

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

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

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see deepl-mcp with a green status indicator.
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-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the DeepL MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about DeepL MCP in Claude Code

Add the server via the command line using the `claude mcp add` command. Ensure your transport and URL flags are set correctly in your config.

Yes, the CLI interface is designed for scripting. You can loop over directories and trigger translations for every file in your project.

Data is transmitted over secure HTTPS connections. No credentials or project text are persisted on the Vinkius infrastructure, keeping your data ephemeral.

You can fetch and use your account glossaries via the CLI tools. This allows you to enforce specific terminology in your automated scripts.

Run the language listing tools to see current support. This is useful for validating your environment variables before running a long-term job.

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