The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Nativ listing page.
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.
Sign up at dashboard.usenativ.com, go to Settings → API Keys, and create a key. It looks like nativ_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx.
Add to your MCP configuration:
~/.claude/claude_desktop_config.json).cursor/mcp.json in your project or ~/.cursor/mcp.json globally)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
uvxdirectlyIf you already have
uvinstalled and prefer to skip the npm wrapper: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"].
Ask your AI assistant things like:
| 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 |
| 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) |
| 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 |
| 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) |
This MCP server acts as a bridge between your AI coding assistant and the Nativ API:
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.
MIT — see LICENSE.