原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Nativ

作者:Nativ-Technologies版本 0.1.3i★ –i在你的电脑上运行
注册名称io.github.Nativ-Technologies/nativ

安装

概览

作者提供的说明(英文原文)

AI-powered localization — translate, manage translation memory, and access style guides.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆
  • 你需要填写:NATIV_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: NATIV_API_KEY, NATIV_API_URL

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "nativ": {
      "command": "uvx",
      "args": [
        "nativ-mcp"
      ],
      "env": {
        "NATIV_API_KEY": "your-value",
        "NATIV_API_URL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add nativ --env NATIV_API_KEY=your-value --env NATIV_API_URL=your-value -- uvx nativ-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "nativ": {
      "command": "uvx",
      "args": [
        "nativ-mcp"
      ],
      "env": {
        "NATIV_API_KEY": "your-value",
        "NATIV_API_URL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "nativ": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "nativ-mcp"
      ],
      "env": {
        "NATIV_API_KEY": "your-value",
        "NATIV_API_URL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • NATIV_API_KEY 机密 必填 env
    Your Nativ API key (create at https://dashboard.usenativ.com → Settings → API Keys)
  • NATIV_API_URL env
    Optional custom API URL (defaults to https://api.usenativ.com)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Nativ-Technologies 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7274 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7274 个服务器的 3% 更新
  • 基础检查结果等于或优于此分类中其他 7274 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Nativ 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:NATIV_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.3)于9个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Nativ MCP Server

mcp-name: io.github.Nativ-Technologies/nativ

AI-powered localization for any MCP-compatible tool — Claude Code, Cursor, Windsurf, and more.

Nativ is a localization platform that uses AI to translate content while respecting your brand voice, translation memory, glossaries, and style guides. This MCP server brings Nativ's full localization engine into your AI coding workflow.


Why use Nativ via MCP?

  • Translate in-context — localize strings, copy, and content directly from your editor without switching to a browser
  • Translation Memory aware — every translation checks your TM first, ensuring consistency across your project
  • Brand voice built-in — your team's tone, formality, and style guides are applied automatically
  • Review and approve — add approved translations to TM from your editor, building quality over time
  • Multi-format — JSON, CSV, Markdown, or freeform text — Nativ handles it all

Quick Start

For a remote Streamable HTTP connection, see Hosted MCP. Hosted calls use your API key in X-API-Key; the stdio setup below uses NATIV_API_KEY in the environment. JSON-only API clients can import the tools schema and call /tools/{tool_name} with HTTPS media URLs.

1. Get a Nativ API Key

Sign up at dashboard.usenativ.com, go to Settings → API Keys, and create a key. It looks like nativ_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx.

2. Install

Add to your MCP configuration:

Claude Code / Claude Desktop (~/.claude/claude_desktop_config.json)
{

"mcpServers": { "nativ": { "command": "npx", "args": ["-y", "nativ-mcp"], "env": { "NATIV_API_KEY": "nativ_your_api_key_here" } } } }

Cursor (.cursor/mcp.json in your project or ~/.cursor/mcp.json globally)
{

"mcpServers": { "nativ": { "command": "npx", "args": ["-y", "nativ-mcp"], "env": { "NATIV_API_KEY": "nativ_your_api_key_here" } } } }

Windsurf
{

"mcpServers": { "nativ": { "command": "npx", "args": ["-y", "nativ-mcp"], "env": { "NATIV_API_KEY": "nativ_your_api_key_here" } } } }

Note: npx auto-downloads the package on first run — no manual install needed. If uv isn't already on your machine, it will be installed automatically on first launch.

Alternative: use uvx directly

If you already have uv installed and prefer to skip the npm wrapper:

`json

{

"mcpServers": {

"nativ": {

"command": "uvx",

"args": ["nativ-mcp"],

"env": {

"NATIV_API_KEY": "nativ_your_api_key_here"

}

}

}

}

`

macOS tip: If you get spawn uvx ENOENT in Cursor or Claude Desktop, GUI apps don't inherit your shell PATH. Use the full path (e.g. "command": "/Users/you/.local/bin/uvx") or wrap in a login shell: "command": "/bin/sh", "args": ["-lc", "uvx nativ-mcp"].

3. Use it

Ask your AI assistant things like:

  • *"Translate 'Welcome back!' to French and German"*
  • *"Check our translation memory for existing translations of 'Sign up'"*
  • *"What are our style guides for localization?"*
  • *"Localize these i18n strings to all configured languages"*
  • *"Review this German translation against our TM and brand voice"*

Workflow reference

The full server has 51 tools in version 0.5.0. Use the complete capability reference for tool names and the usage and output guide for context, files, review and export. The table below is a selection, not the complete catalogue.

  • Text: inspect workspace guidance, search memory, translate, then save approved pairs separately.
  • Images: extract wording, review replacements, render a candidate image. The output remains raster artwork.
  • Audio/video: inspect capabilities and voices, transcribe, translate related turns, review, then synthesize. Dubbing does not automatically translate the visible picture.
  • Saved subtitles: read review rows, save edits and regenerate the final export. A QC workbook is a different deliverable.
  • Custom integrations: use local/hosted MCP or the JSON adapter; the REST API and SDKs have their own request contracts.
ChatGPT is a separate connection

The full https://mcp.usenativ.com/mcp endpoint uses a Nativ API key and the 51-tool catalogue. The focused https://mcp.usenativ.com/chatgpt/mcp endpoint uses OAuth and seven copy/image/context/memory tools. It does not accept a manually supplied Nativ API key or expose the full audio, subtitle and administration catalogue. A working endpoint is not evidence of public plugin-directory approval. The existing custom GPT is another distinct surface. See authentication boundaries.

Tools

ToolDescription
translateTranslate text using the full localization engine (TM, style guides, brand voice, glossary)
translate_batchTranslate multiple texts to a target language in one call
search_translation_memoryFuzzy-search the translation memory for existing translations
add_translation_memory_entryAdd an approved translation to TM for future reuse
get_languagesList all configured languages with formality and style settings
get_translation_memory_statsGet TM statistics — total entries, sources, and breakdown
get_style_guidesList all style guides with their content and status
get_brand_voiceGet the brand voice prompt that shapes all translations
extract_image_textExtract on-image text segments (OCR) in reading order
localize_imageReplace on-image text with translations in place, keeping layout and graphics intact
check_image_cultural_fitFlag cultural-sensitivity issues in an image across target markets
transcribe_audioSpeech-to-text for a local audio or video file (draft; billed on synthesize)
parse_audio_scriptParse a script (.txt/.docx/.pdf/.srt) instead of running STT
list_voicesList TTS voices for dubbing
preview_voiceSave a short TTS preview WAV to disk
get_voice_consent_scriptConsent copy required for voice cloning
synthesize_audioGenerate billed localized TTS (and optional dubbed MP4) and save to disk
register_videoStore a source video for later remux
remux_videoMux a WAV onto a registered video
parse_subtitleParse a local SRT/ITT into timed cues
localize_subtitlesLocalize subtitles in-memory from SRT/ITT and/or video STT

| clone_voice | Create a Google voice clone from reference speech and spoken consent | | create_byo_voice | Create and save an original-speaker clone from audio/video, or a Google clone with consent | | delete_saved_voice | Delete a saved cloned voice when requested | | get_audio_capabilities | Read account media duration limits and long-form eligibility | | transcribe_audio_detailed | Return complete transcript segments, speaker IDs, timings and media IDs | | translate_dialogue | Translate related speaker turns together, with timing and review details | | synthesize_audio_advanced | Dub with speaker-specific voices, music, timing and complete review data | | upload_subtitle | Save an SRT/ITT source, with optional auto-localization | | list_subtitles | List saved subtitle sources and localized files | | localize_subtitle_file | Localize an already saved ITT source | | get_subtitle_download_url | Get an expiring download URL for a saved subtitle | | delete_subtitle | Delete a saved subtitle when requested | | get_subtitle_review | Read subtitle QC rows and approval status | | update_subtitle_review | Save reviewed subtitle translations and approvals | | export_subtitle | Export subtitles with review edits, or a QC workbook | | list_translation_memory_entries | List and paginate TM entries with IDs | | update_translation_memory_entry | Edit or enable/disable an existing TM entry | | delete_translation_memory_entry | Delete a TM entry when requested | | list_language_settings | Get complete language settings with IDs for updates | | get_language_formality_options | List supported formality settings | | update_language_formality | Save a workspace language's formality | | update_language_custom_style | Save or clear per-language style instructions | | list_style_guides | Get complete style-guide content and IDs for editing | | get_combined_prompt | Read the combined brand prompt and enabled style guides | | create_style_guide | Create a workspace style guide | | update_style_guide | Edit or enable/disable an existing style guide | | delete_style_guide | Delete a style guide when requested | | upload_style_guide | Import a style guide from .txt or .docx | | reorder_style_guides | Save the order of style guides | | submit_translation_feedback | Save feedback or an approval rating |

All 51 tools are shared by local and hosted MCP. Existing tools retain their arguments and results. Voice cloning uses the existing API and requires the user’s ownership/permission confirmation. See the workflow coverage audit for original-voice dubbing and saved-subtitle examples.

Resources

URIDescription
nativ://languagesConfigured languages (JSON)
nativ://style-guidesAll style guides (JSON)
nativ://brand-promptBrand voice prompt (JSON)
nativ://tm/statsTranslation memory statistics (JSON)

Prompts

PromptDescription
localize-contentGuided workflow to localize content into target languages
review-translationReview a translation against TM, style guides, and brand voice
batch-localize-stringsBatch-localize i18n strings with structured output

Examples

Translate a marketing headline
You: Translate "The future of luxury, delivered" to French and Japanese

AI: [calls translate tool for each language]

Translation (French): "L'avenir du luxe, livré chez vous" TM Match: 0% — new translation, no prior TM entries Rationale: "Livré chez vous" adds a personal touch absent from the literal "livré", aligning with the brand's premium yet approachable voice.

Translation (Japanese): "ラグジュアリーの未来を、あなたの元へ" TM Match: 45% partial — similar pattern found in TM from brand_voice source

Check existing translations
You: Do we have translations for "Add to cart" in our TM?

AI: [calls search_translation_memory]

TM Search Results for "Add to cart" (3 matches):

  • 95% [strong] "Add to cart" → "Ajouter au panier" (source: approved)
  • 95% [strong] "Add to cart" → "In den Warenkorb" (source: brand_voice)
  • 72% [partial] "Add items to cart" → "Ajouter des articles" (source: phrase_tm)
Batch localize i18n strings
You: Localize these to French:
  • "Sign up"
  • "Log in"
  • "Forgot password?"
  • "Continue with Google"

AI: [calls translate_batch]

Batch translation to French (4 items):

  1. "Sign up" → "S'inscrire" (TM 100%)
  2. "Log in" → "Se connecter" (TM 100%)
  3. "Forgot password?" → "Mot de passe oublié ?" (TM 92%)
  4. "Continue with Google" → "Continuer avec Google" (TM 85%)

Configuration

Environment VariableRequiredDescription

只显示了开头部分;其余内容请在仓库中阅读

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