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Nativ MCP server

by Nativ-Technologies·io.github.Nativ-Technologies/nativ·v0.1.3·1 stars

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

A85/100grade A
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A85/100

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Nativ tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • add_translation_memory_entry

    Add a new entry to the translation memory.

  • get_brand_voice

    Get the brand voice prompt — the core localization personality.

  • get_languages

    Get all languages configured for the Nativ workspace.

  • get_style_guides

    Get all style guides configured for the workspace.

  • get_translation_memory_stats

    Get statistics about the translation memory.

  • search_translation_memory

    Search the translation memory for existing translations.

  • translate

    Translate text using Nativ's AI localization engine.

  • translate_batch

    Translate multiple texts to a single target language.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan4 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 10 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Nativ compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 70% of 48,255 servers
Tools
8
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 65% of 28,688 servers

What its tools let an agent do: 7 read · 1 create

Install Nativ in Claude Code, Cursor or VS Code

claude mcp add nativ -- uvx nativ-mcp
Add to Cursor

What the publisher says

From the Nativ repository's README, as published. We do not edit it. Read it on GitHub

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/claudedesktopconfig.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": {

"NATIVAPIKEY": "nativyourapikeyhere"

}

}

}

}

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

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Nativ: common questions

Is Nativ MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Nativ safety report
How do I install Nativ?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Nativ need an API key?
Yes. The registry entry asks for NATIV_API_KEY.
Is Nativ maintained?
The last commit was 47 days ago (2026-09-18). The latest release is v0.1.3.
How does Nativ compare with other MCP servers?
safety score 85/100 (higher than 70% of 48,255 servers); tools 8 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.