Nativ
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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 0 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新↓ 44/周 · ★ –
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: 文档、表格与办公
- 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 0 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。
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。
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
- Your Nativ API key (create at https://dashboard.usenativ.com → Settings → API Keys)
NATIV_API_URLenvOptional 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8日
- ! 注意
作者与仓库一致
发布者(ashish-nativ)不是仓库所有者(Nativ-Technologies);可能是其他人代为上架的
- … 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“文档、表格与办公”中的其他服务器比较i
- 星标数多于此分类中其他 3572 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 3572 个服务器的 2% 更新
- 基础检查结果等于或优于此分类中其他 3572 个服务器的 21%
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 0 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(0.1.1)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:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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:↓ 每周下载量i★ 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
Excel MCP Server
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
MCP Server for Excel
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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:
npxauto-downloads the package on first run — no manual install needed. Ifuvisn't already on your machine, it will be installed automatically on first launch.
Alternative: use uvx directly
If you already have
uvinstalled 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 ENOENTin 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
| Tool | Description |
|---|---|
translate | Translate text using the full localization engine (TM, style guides, brand voice, glossary) |
translate_batch | Translate multiple texts to a target language in one call |
search_translation_memory | Fuzzy-search the translation memory for existing translations |
add_translation_memory_entry | Add an approved translation to TM for future reuse |
get_languages | List all configured languages with formality and style settings |
get_translation_memory_stats | Get TM statistics — total entries, sources, and breakdown |
get_style_guides | List all style guides with their content and status |
get_brand_voice | Get the brand voice prompt that shapes all translations |
extract_image_text | Extract on-image text segments (OCR) in reading order |
localize_image | Replace on-image text with translations in place, keeping layout and graphics intact |
check_image_cultural_fit | Flag cultural-sensitivity issues in an image across target markets |
transcribe_audio | Speech-to-text for a local audio or video file (draft; billed on synthesize) |
parse_audio_script | Parse a script (.txt/.docx/.pdf/.srt) instead of running STT |
list_voices | List TTS voices for dubbing |
preview_voice | Save a short TTS preview WAV to disk |
get_voice_consent_script | Consent copy required for voice cloning |
synthesize_audio | Generate billed localized TTS (and optional dubbed MP4) and save to disk |
register_video | Store a source video for later remux |
remux_video | Mux a WAV onto a registered video |
parse_subtitle | Parse a local SRT/ITT into timed cues |
localize_subtitles | Localize 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
| URI | Description |
|---|---|
nativ://languages | Configured languages (JSON) |
nativ://style-guides | All style guides (JSON) |
nativ://brand-prompt | Brand voice prompt (JSON) |
nativ://tm/stats | Translation memory statistics (JSON) |
Prompts
| Prompt | Description |
|---|---|
localize-content | Guided workflow to localize content into target languages |
review-translation | Review a translation against TM, style guides, and brand voice |
batch-localize-strings | Batch-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):
- "Sign up" → "S'inscrire" (TM 100%)
- "Log in" → "Se connecter" (TM 100%)
- "Forgot password?" → "Mot de passe oublié ?" (TM 92%)
- "Continue with Google" → "Continuer avec Google" (TM 85%)
Configuration
| Environment Variable | Required | Description |
|---|
只显示了开头部分;其余内容请在仓库中阅读