DeepL MCP Server

DeepL MCP Server – Seamless AI‑Powered Translation

The DeepL MCP server turns the powerful, high‑quality translation engine of DeepL into a first‑class resource for AI assistants. By exposing translation as an MCP tool, developers can embed instant, multilingual capabilities into conversational agents without handling the intricacies of HTTP requests or authentication. This solves a common bottleneck: enabling AI assistants to translate on demand while maintaining compliance with DeepL’s API quotas and pricing.

At its core, the server offers a suite of tools that mirror DeepL’s own functionality. The tool accepts plain text, a target language code, and an optional formality flag, returning a polished translation. lets users refine or paraphrase content in the same or another language, useful for tone adjustment or localization. Two discovery tools— and —provide dynamic listings of supported languages, allowing assistants to present up‑to‑date options to users. Automatic language detection is built into the translation flow, so callers need not pre‑specify source languages.

Developers benefit from several standout features. First, the server handles all authentication via an environment variable (), keeping secrets out of code. Second, it respects DeepL’s free tier limits (500 k characters/month) while offering the same API surface as paid plans, giving teams a low‑cost entry point. Third, formality control is exposed natively, enabling assistants to switch between formal and informal registers on the fly—an essential requirement for business or casual contexts. Finally, the server’s lightweight Node.js implementation can be launched with a single command, making it trivial to prototype or deploy in CI/CD pipelines.

In real‑world workflows, the DeepL MCP server integrates smoothly with any AI platform that supports MCP. For instance, Claude Desktop can be configured to call the server whenever a user requests translation, enabling seamless bilingual conversations. Content‑management systems can use the tool to generate localized copy variants automatically. Customer support bots can translate user queries into the agent’s native language, ensuring accurate responses. Because the server exposes a clean tool interface, developers can compose complex chains—detect language → translate → rephrase → summarise—within a single conversational flow, dramatically enhancing productivity and user experience.