DeepL MCP Server
OfficialRelated Servers
Alternatives to DeepL MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides DeepL translation capabilities, allowing AI assistants to translate text between supported languages via the DeepL API.1,242 npm3MIT
- FlicenseNot gradedqualityDmaintenanceA ModelContextProtocol server providing high-quality translation services with a three-stage translation workflow (analysis, segmented translation, full-text review) that supports multiple languages and integrates with Claude and OpenAI-compatible models.26-
- FlicenseNot gradedqualityDmaintenanceMCP server for the HY-MT translation model, allowing AI assistants to perform high-quality translations across 38 languages via the Model Context Protocol.5-
- AlicenseNot gradedqualityDmaintenanceAn AI-driven text translation service supporting 20+ languages, based on the Model Context Protocol (MCP) for integration with Claude Desktop and other MCP-compatible applications.MIT
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that integrates with Phrase Strings to manage translation projects, keys, and translations. Enables AI assistants to perform CRUD operations on projects, locales, and translations programmatically.-
- FlicenseNot gradedqualityDmaintenanceA server implementing the Model Context Protocol that enables AI assistants like Claude to interact with Google's Gemini API for text generation, text analysis, and chat conversations.-
TDQS
Scored across 13 tools
Each tool targets a distinct resource or action: language listing, translation, rephrasing, glossary listing/detail/entries, and style rule listing/detail/custom instructions. The only pairs that could be confused (writing styles vs tones, style rule vs custom instruction) are distinguished by their descriptions, so ambiguity is minimal.
All tools follow a consistent verb_noun pattern using lowercase with hyphens (get-, list-, translate-, rephrase-). There are no mixed conventions or vague verbs like 'process'.
13 tools is within the ideal 3-15 range. The count reflects the breadth of DeepL features (translation, rephrasing, glossaries, style rules) without being overwhelming.
Core translation and rephrasing workflows are covered (language lists, translate text/document, rephrase, styles/tones). However, the server only offers read operations for glossaries and style rules (list/get), with no create/update/delete, leaving a notable gap for managing these resources.