deepl-mcp-server — security grade SAFE, quality 76/100

Security audit verdict: SAFE · quality 76/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by DeepL · MCP Server · ★ 117

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is deepl-mcp-server safe to install? View the security audit →

About deepl-mcp-server

deepl-mcp-server A Model Context Protocol (MCP) server that provides translation capabilities using the DeepL API. Features Translate text between numerous languages Translate documents Rephrase text using DeepL's capabilities Access to all DeepL API languages and features Automatic language detection Formality control for supported languages DeepL glossary support for consistent terminology translation Usage The easiest way to run this server is to use the npm package without installing anything: If you want to install this locally, so you can play with it to your heart's content, you can do so using npm: Alternately, if you want to contribute, you can clone this repository and install dependencies: Configuration DeepL API Key You'll need a DeepL API key to use this server. You can get one by signing up at DeepL API. With a DeepL API Free account you can translate up to 500,000 characters/month for free. Using with Claude Code

apideepli18nlanguagemcpmodel-context-protocolofficialtranslationtranslator

Quick Facts

Stars117
Forks19
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score76.4261468213884/100
Open Issues3
Last Updated2026-10-01
Created2025-04-04
Platformsmcp, node
Est. Tokens~15k

Compatible Skills

These tools work well together with deepl-mcp-server for enhanced workflows:

  • chatgpt-subtitle-translator — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • deepl-mcp-server — semantic(0.76)+same_lang+similar_pop+shared_platform (60%)
  • jta — semantic(0.31)+complementary+rare_topics+similar_pop (55%)
  • getnote-mcp — semantic(0.53)+same_lang+similar_pop+shared_platform (53%)

deepl-mcp-server alternative? Top 6 similar tools

Looking for a deepl-mcp-server alternative? If you're comparing deepl-mcp-server with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • us-gov-open-data-mcp by lzinga · ⭐ 112

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  • anytype-mcp by anyproto · ⭐ 525

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  • roam-code by Cranot · ⭐ 517

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  • mcp-server-bash-sdk by muthuishere · ⭐ 515

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Frequently Asked Questions

What is deepl-mcp-server?

deepl-mcp-server is A Model Context Protocol (MCP) server that provides translation capabilities using the DeepL API.. It is categorized as a MCP Server with 117 GitHub stars.

What programming language is deepl-mcp-server written in?

deepl-mcp-server is primarily written in JavaScript. It covers topics such as api, deepl, i18n.

How do I install or use deepl-mcp-server?

You can find installation instructions and usage details in the deepl-mcp-server GitHub repository at github.com/DeepL/deepl-mcp-server. The project has 117 stars and 19 forks, indicating an active community.

What license does deepl-mcp-server use?

deepl-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to deepl-mcp-server?

The top alternatives to deepl-mcp-server on Agent Skills Hub include nexus, mcp-agent-langchainjs, us-gov-open-data-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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