# Nativ Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Nativ

Translate text, images, audio and subtitles while keeping your brand voice consistent.

- Record: https://musedirectory.ai/connector/nativ
- Category: Marketing & Ads
- Developer: Nativ Technologies
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 250ms, checked 2026-11-09T07:16:02Z
- Endpoint: https://mcp.usenativ.com/mcp
- Auth: Sign in with your account; Pricing: unknown
- Screening: Screened, no issues found (2026-11-09T03:41:28Z)
- Source: Found in the official MCP Registry (io.github.Nativ-Technologies/nativ) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.Nativ-Technologies%2Fnativ

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.

Example request: "Translate our product launch page into French and Spanish and keep the tone consistent with our style guide."

How to connect: 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.

Tools:
- translate: Translate 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.g
- translate_batch: Translate 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 incomplete
- search_translation_memory: Search 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 c
- add_translation_memory_entry: Add 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_code
- get_languages: Get all languages configured for the Nativ workspace. Returns language names, codes, formality settings, and custom style directives for each language. 
- get_translation_memory_stats: Get statistics about the translation memory. Shows total entries, enabled/disabled counts, and breakdown by source type. 
- get_style_guides: Get all style guides configured for the workspace. Returns the titles, content, and enabled status of each style guide. 
- get_brand_voice: Get 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_text: Extract 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_image: Localize 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_fit: Analyze 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, JPE
- transcribe_audio: Transcribe 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 pat
- parse_audio_script: Parse a script file (.txt, .docx, .pdf, .srt, .itt) instead of STT.
- list_voices: List TTS voices available for dubbing. Args: language_code: Optional filter (e.g. "fr", "ja-JP"). 
- preview_voice: Generate 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_script: Get the spoken consent script required for voice cloning.
- synthesize_audio: Generate 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, end
- register_video: Upload a source video for later remuxing. Returns video_id.
- remux_video: Mux 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_subtitle: Parse an SRT/ITT file into timed cues (no storage).
- localize_subtitles: Localize 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 l
- clone_voice: Create 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 f
- create_byo_voice: Create 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 c
- delete_saved_voice: Delete a saved cloned voice belonging to the caller, when explicitly requested.
- get_audio_capabilities: Get 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_detailed: Transcribe 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_dialogue: Localize 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 targe
- synthesize_audio_advanced: Synthesize 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 speak
- upload_subtitle: Upload 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_subtitles: List the caller's saved subtitle sources, localized files, and storage paths.
- localize_subtitle_file: Localize 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_subti
- get_subtitle_download_url: Get an expiring download URL for a saved subtitle's storage path.
- delete_subtitle: Delete a saved subtitle belonging to the caller, when explicitly requested.
- get_subtitle_review: Get saved subtitle QC rows, translations, rationales, and approval status.
- update_subtitle_review: Save 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_subtitle: Export 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_entries: List and paginate translation memory entries, including IDs for editing.
- update_translation_memory_entry: Edit an approved TM translation or enable/disable it for future translations.
- delete_translation_memory_entry: Delete a translation memory entry, when explicitly requested.
- list_language_settings: Get 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. 

Screening checks:
- MCP handshake: pass (Answered in 253ms)
- Domain against threat feeds (Cloudflare security DNS): pass (mcp.usenativ.com, www.usenativ.com not flagged)
- Published packages against the OSV malicious-package database: pass (No malicious-package advisories)
- Hidden instructions or invisible characters in tool text: pass (51 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 765 days ago)
- AI review of purpose and tool behavior: pass (No concerns)