Skip to main content
Glama

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

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.

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

{ "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

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

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): 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 Variable

Required

Description

NATIV_API_KEY

Yes

Your Nativ API key (nativ_xxx...)

NATIV_API_URL

No

API 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:

┌─────────────────────┐ ┌──────────────┐ ┌─────────────────┐ │ Claude / Cursor / │────▶│ Nativ MCP │────▶│ Nativ API │ │ Windsurf / etc. │◀────│ Server │◀────│ (Translation, │ │ │ │ (stdio) │ │ TM, Styles) │ └─────────────────────┘ └──────────────┘ └─────────────────┘

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

# 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 ".[dev]" # 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 — see LICENSE.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Nativ-Technologies/nativ-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server