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Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/11/2026, 12:08:27 AM

Nativ

Enrichment pendingWe havenโ€™t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time โ€” check back soon.
View Repository

AI-powered localization โ€” translate, manage translation memory, and access style guides.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "nativ": {
      "command": "npx",
      "args": [
        "-y",
        "nativ"
      ]
    }
  }
}

๐Ÿ’ก Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Documentation Overview

Nativ MCP Server

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

AI-powered localization for any MCP-compatible tool โ€” 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.

Smithery MCP Badge


Why use Nativ via MCP?

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

Quick Start

1. Get a Nativ API Key

Sign up at dashboard.usenativ.com, go to Settings โ†’ 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)

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)

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

Windsurf

config.json
{
  "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 โ€” 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:

config.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"

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 โ€” 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

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

Code
You: Translate "The future of luxury, delivered" to French and Japanese

AI: [calls translate tool for each language]

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

Translation (Japanese): "ใƒฉใ‚ฐใ‚ธใƒฅใ‚ขใƒชใƒผใฎๆœชๆฅใ‚’ใ€ใ‚ใชใŸใฎๅ…ƒใธ"
  TM Match: 45% partial โ€” similar pattern found in TM from brand_voice source

Check existing translations

Code
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" โ†’ "Ajouter au panier" (source: approved)
- 95% [strong] "Add to cart" โ†’ "In den Warenkorb" (source: brand_voice)
- 72% [partial] "Add items to cart" โ†’ "Ajouter des articles" (source: phrase_tm)

Batch localize i18n strings

Code
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" โ†’ "S'inscrire" (TM 100%)
2. "Log in" โ†’ "Se connecter" (TM 100%)
3. "Forgot password?" โ†’ "Mot de passe oubliรฉ ?" (TM 92%)
4. "Continue with Google" โ†’ "Continuer avec Google" (TM 85%)

Configuration

Environment VariableRequiredDescription
NATIV_API_KEYYesYour Nativ API key (nativ_xxx...)
NATIV_API_URLNoAPI base URL (defaults to https://api.usenativ.com)

How It Works

This MCP server acts as a bridge between your AI coding assistant and the Nativ API:

Code
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  Claude / Cursor /   โ”‚โ”€โ”€โ”€โ”€โ–ถโ”‚  Nativ MCP   โ”‚โ”€โ”€โ”€โ”€โ–ถโ”‚   Nativ API     โ”‚
โ”‚  Windsurf / etc.     โ”‚โ—€โ”€โ”€โ”€โ”€โ”‚  Server      โ”‚โ—€โ”€โ”€โ”€โ”€โ”‚ (Translation,   โ”‚
โ”‚                      โ”‚     โ”‚  (stdio)     โ”‚     โ”‚  TM, Styles)    โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

The MCP server runs locally via stdio. It authenticates with your API key and calls the Nativ REST API on your behalf. Your AI assistant sees Nativ's tools, resources, and prompts as native capabilities.

Development

bash
# Clone the repo
git clone https://github.com/nativ-ai/nativ-mcp.git
cd nativ-mcp

# Set up environment
uv venv
source .venv/bin/activate
uv pip install -e .

# Run the server (for testing)
NATIV_API_KEY=nativ_xxx nativ-mcp

# Run with MCP Inspector
NATIV_API_KEY=nativ_xxx npx @modelcontextprotocol/inspector uv run nativ-mcp

License

MIT โ€” see LICENSE.

Links

  • Nativ Platform
  • Nativ Dashboard
  • MCP Protocol
  • Report Issues

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Frequently Asked Questions about Nativ

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "nativ": { "command": "npx", "args": ["-y", "nativ"] } }

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging ยท 27/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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