Translate text, images, audio and subtitles while keeping your brand voice consistent.
Connects Muse to Nativ's localization service so it can translate and adapt text, images, audio and subtitles using your brand voice, saved memory and style guides.
Try asking Muse: "Translate our product launch page into French and Spanish and keep the tone consistent with our style guide."
Source: Found in the official MCP Registry (io.github.Nativ-Technologies/nativ) · First listed November 9, 2026
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Nativ is not in Muse's Connectors list yet, and it needs you to sign in with your Nativ account. Apps that need this kind of sign-in usually cannot be used from a Muse chat yet. Follow it here and we will tell you when it reaches Muse.
https://mcp.usenativ.com/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Nativ is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
In Claude, open Settings, then Connectors.
Choose Add custom connector, give it a name, and paste the link.
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://mcp.usenativ.com/mcpResponse time at the last check: 250ms. Worked in 100% of checks over 30 days.
Screened, no issues found
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translateTranslate text using Nativ's AI localization engine. Uses the team's translation memory, style guides, and brand voice automatically. Returns the translation along with TM match info and rationale. Args: text: The text to translate. target_language: Full target language name (e.gtranslate_batchTranslate multiple texts to a single target language. Use for lists of strings, UI labels, i18n files, subtitle cues, and voiceover segments. Prefer one batch over separate translate calls. Texts are translated together using the team's TM and style guides. A failed or incompletesearch_translation_memorySearch the translation memory for existing translations. Use this to check if translations already exist before creating new ones, or to find reference translations for consistency. Args: query: Text to search for in the translation memory. source_language_code: Source language cadd_translation_memory_entryAdd a new entry to the translation memory. Use this to store approved translations so they are reused in future localizations. Args: source_text: The original text. target_text: The approved translation. source_language_code: Source language code (e.g. "en"). target_language_codeget_languagesGet all languages configured for the Nativ workspace. Returns language names, codes, formality settings, and custom style directives for each language. get_translation_memory_statsGet statistics about the translation memory. Shows total entries, enabled/disabled counts, and breakdown by source type. get_style_guidesGet all style guides configured for the workspace. Returns the titles, content, and enabled status of each style guide. get_brand_voiceGet the brand voice prompt — the core localization personality. This is the master prompt that shapes all translations. It captures the brand's tone, personality, terminology, and localization guidelines. extract_image_textExtract text segments from an image, in reading order (OCR). Use this as the first step when localizing an image: pull out the on-image source strings, translate each with `translate` (so TM, style guides, and brand voice apply), then re-render with `localize_image`. Args: image_localize_imageLocalize an image in place by replacing its on-image text with translations. Keeps every non-text element (layout, colours, graphics) intact and re-renders the original text with the provided translations. Pair with `extract_image_text` (to get the source strings) and `translate`check_image_cultural_fitAnalyze an image for cultural-sensitivity issues across markets before launch. Returns a SAFE / NOT SAFE verdict and, where relevant, the specific countries affected with the issue and a concrete fix. Args: image_path: Public HTTPS URL (hosted) or local path (stdio) to a PNG, JPEtranscribe_audioTranscribe speech from an audio or video file (unbilled draft). Use the returned segments with `translate` (origin via text) then `synthesize_audio` to produce a dubbed track. Video uploads also return a video_id for muxing. Args: file_path: Public HTTPS URL (hosted) or local patparse_audio_scriptParse a script file (.txt, .docx, .pdf, .srt, .itt) instead of STT.list_voicesList TTS voices available for dubbing. Args: language_code: Optional filter (e.g. "fr", "ja-JP"). preview_voiceGenerate a short TTS preview. Hosted mode returns a download URL. Args: voice_id: Voice id from `list_voices`. output_path: Output filename hint (hosted) or WAV path (stdio). language_code: Optional locale. text: Optional preview line (max 200 chars). get_voice_consent_scriptGet the spoken consent script required for voice cloning.synthesize_audioGenerate billed localized TTS (and optional dubbed video). Hosted mode returns download URLs. Args: language: Target language name (e.g. "French"). language_code: Target language code (e.g. "fr"). voice_id: Voice id from `list_voices`. segments: JSON array of {text, start_ms, endregister_videoUpload a source video for later remuxing. Returns video_id.remux_videoMux a WAV file onto a previously registered video. Args: video_id: Id from `register_video` or `transcribe_audio`. audio_path: Public HTTPS audio URL (hosted) or local file path (stdio). output_path: Output filename hint (hosted) or MP4 path (stdio). parse_subtitleParse an SRT/ITT file into timed cues (no storage).localize_subtitlesLocalize subtitles in-memory. Provide an SRT/ITT and/or a video (STT). Args: target_language_codes: Comma-separated codes (e.g. "fr,de,ja"). subtitle_path: Optional public HTTPS subtitle URL (hosted) or local path (stdio). video_path: Optional public HTTPS video URL (hosted) or lclone_voiceCreate a Google voice clone from reference speech and spoken consent. Requires the user's explicit ownership/permission confirmation. Obtain the required consent wording with get_voice_consent_script. Inputs are local paths in stdio or public HTTPS URLs hosted. Returns voice_id fcreate_byo_voiceCreate and save a reusable voice clone in the caller's workspace. Set clip_reference=true to clone original speech from audio/video with ElevenLabs. Optional clip_ranges selects speech-only {start_ms,end_ms} ranges, useful for individual speakers. Otherwise Google cloning needs cdelete_saved_voiceDelete a saved cloned voice belonging to the caller, when explicitly requested.get_audio_capabilitiesGet the caller's audio/video duration limits and long-form eligibility. Check before transcription; do not assume a long input was processed fully. Respect the returned duration_ms and transcript boundaries. transcribe_audio_detailedTranscribe audio/video with complete timed segments and speaker metadata. Unlike the compact transcribe_audio display, returns all segments with IDs, speaker IDs, speech islands, actual processed duration, video_id, and stem_id. Use for multi-speaker dubbing or long transcripts. translate_dialogueLocalize speaker turns together with shared dialogue context. Each segment needs id, text, target_language, target_language_code and optional start_ms, end_ms, speaker_id from transcribe_audio_detailed. Returns timed translated turns with review details; different turns may targesynthesize_audio_advancedSynthesize multi-speaker audio/video with complete timing and review data. Billed operation. segments is a native array with text, start_ms, end_ms and optional original, speaker_id, voice_id, language_code and review fields returned by translation. speaker_voices maps each speakupload_subtitleUpload and save a subtitle file; optionally localize it (billed). Input is a local path (stdio) or public HTTPS URL (hosted). Returns storage paths for list_subtitles, localize_subtitle_file and download. Use localize_subtitles for the existing in-memory workflow instead. list_subtitlesList the caller's saved subtitle sources, localized files, and storage paths.localize_subtitle_fileLocalize an already saved ITT subtitle file (billed), using its storage path. storage_path comes from upload_subtitle/list_subtitles, not a local path or HTTPS URL. Backend expects query parameters for this route. For SRT, use upload_subtitle(auto_localize=true) or localize_subtiget_subtitle_download_urlGet an expiring download URL for a saved subtitle's storage path.delete_subtitleDelete a saved subtitle belonging to the caller, when explicitly requested.get_subtitle_reviewGet saved subtitle QC rows, translations, rationales, and approval status.update_subtitle_reviewSave subtitle review edits: rows with row_index, translation, approved, rationale. Use row indices returned by get_subtitle_review. Export with export_subtitle(regenerate=true) after editing to apply the changes. export_subtitleExport a saved subtitle or its QC workbook as a file/download URL. Set qc=true for the review XLSX. Otherwise retain the subtitle's original format; regenerate=true applies saved QC edits first. Use an output filename with the matching extension (.xlsx for QC). list_translation_memory_entriesList and paginate translation memory entries, including IDs for editing.update_translation_memory_entryEdit an approved TM translation or enable/disable it for future translations.delete_translation_memory_entryDelete a translation memory entry, when explicitly requested.list_language_settingsGet complete workspace language settings, including IDs for updates. Use each returned language id as mapping_id for update_language_formality or update_language_custom_style. The compact get_languages tool remains available for a human-readable summary. https://mcp.usenativ.com/mcpNativ is not in Muse's Connectors list yet, and it needs you to sign in with your Nativ account. Apps that need this kind of sign-in usually cannot be used from a Muse chat yet. Follow it here and we will tell you when it reaches Muse.
At the last check (November 9, 2026, 07:16 UTC) the endpoint was working, answering in 250ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
It was screened on November 9, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 40 tools, including translate, translate_batch, search_translation_memory, add_translation_memory_entry. For example, you could ask Muse: "Translate our product launch page into French and Spanish and keep the tone consistent with our style guide."
This listing was added from public sources (Found in the official MCP Registry (io.github.Nativ-Technologies/nativ)). If you build Nativ, claim it to correct the details and get your badge.
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