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Nativ

by Nativ-Technologiesversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.Nativ-Technologies/nativ

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: NATIV_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: NATIV_API_KEY, NATIV_API_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • NATIV_API_KEY secret required 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)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Nativ-Technologies, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7271 servers in this category
  • Published to the registry more recently than 3% of the other 7271 servers in this category
  • Basic checks equal to or better than 100% of the other 7271 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Nativ safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: NATIV_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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