AI-powered localization — translate, manage translation memory, and access style guides.
If you already use Nativ, the nativ mcp server is the piece that lets your assistant work with it directly. AI-powered localization — translate, manage translation memory, and access style guides.
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.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
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 callsearch_translation_memory — Fuzzy-search the translation memory for existing translationsadd_translation_memory_entry — Add an approved translation to TM for future reuseget_languages — List all configured languages with formality and style settingsget_translation_memory_stats — Get TM statistics — total entries, sources, and breakdownget_style_guides — List all style guides with their content and statusget_brand_voice — Get the brand voice prompt that shapes all translationsWindsurf — The Windsurf tool exposed by this serverConfiguration is passed through the environment: NATIV_API_KEY, NATIV_API_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Installation goes through your MCP client rather than a global install: point it at @modelcontextprotocol/inspector on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Nativ's toolset — translate, translate_batch, search_translation_memory and 6 more — is a fair guide to whether it matches your workflow. It is maintained by Nativ-Technologies; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| 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 |
| Windsurf | The Windsurf tool exposed by this server. |
{
"mcpServers": {
"nativ": {
"command": "npx",
"args": ["-y", "nativ-mcp"],
"env": {
"NATIV_API_KEY": "nativ_your_api_key_here"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| NATIV_API_KEY | Credential the server authenticates with. | Yes |
| NATIV_API_URL | Endpoint or connection string the server talks to. | Yes |
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