# TTSForFree Muse connector

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

## TTSForFree

Convert text to AI voices, transcribe media, and dub videos into multiple languages.

- Record: https://musedirectory.ai/connector/ttsforfree
- Category: Productivity
- Developer: CalmNguyen (https://ttsforfree.com)
- 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, 450ms, checked 2026-10-29T20:21:36Z
- Endpoint: https://api.ttsforfree.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-29T20:21:36Z)
- Source: Found in the official MCP Registry (io.github.CalmNguyen/ttsforfree) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.CalmNguyen%2Fttsforfree

Generate speech from text in 100+ languages with customizable AI voices. Transcribe videos and audio files, create multi-speaker podcasts and dialogues, and automatically dub videos with translated audio tracks. Supports voice cloning and custom voice design.

Example request: "Dub my YouTube video into Spanish and French with native speakers' voices."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use TTSForFree to help me. It is a free service with an MCP server at https://api.ttsforfree.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- list_languages: List every language supported by TTSForFree text-to-speech. Returns language codes to pass to list_voices.
- list_voices: Search the AI voice catalog for one language. Each result has a `voice` token (v1:...) - pass it unchanged as `voice` to text_to_speech, multi_voice_to_speech or srt_to_speech. Results are sorted by popularity; `can_use=false` means the user's plan cannot use that voice. Prefer t
- get_voice_details: Get full metadata for one voice token: persona, use case, accent, pitch, styles, preview audio and credit cost.
- list_my_custom_voices: List the user's personal voices created with Voice Design (from a text prompt) or Voice Clone (from an audio sample), plus the remaining custom-voice quota. Use `voice` from the result in any speech tool.
- list_favorite_voices: List the voices the user marked as favorites, in their saved order. Check this first when the user did not name a voice.
- add_favorite_voice: Save a voice to the user's favorites (only when the user asks).
- remove_favorite_voice: Remove a voice from the user's favorites (only when the user asks).
- design_custom_voice: Create a new personal AI voice from a natural-language description (Gemini Voice Design). Uses one slot of the user's custom-voice quota - confirm with the user first. Good for a unique narrator or a character voice in a video/podcast. Returns the new `voice` token.
- get_account_status: Show the user's plan tier, remaining characters/credits, max characters per request, max blocks per multi-voice/SRT job and API rate limits. Call before large jobs.
- text_to_speech: Convert one text into one MP3 with one voice. Use for narration, voiceover scripts, articles, lessons, announcements or any audio whose length can follow the speech. Consumes credits (characters x voice rate). Returns job_id, status and audio_url when ready.
- multi_voice_to_speech: Render ordered segments, each with its own voice, into ONE merged MP3. Use for podcasts, dialogues, interviews, audio dramas or explainer videos with several speakers when there are no fixed timestamps. Consumes credits.
- srt_to_speech: Create ONE MP3 that follows a subtitle timeline: every cue starts at its timestamp and speech speed auto-fits the cue duration. Use for video voiceover, dubbing translated subtitles, YouTube localization, tutorials and any edit where audio must line up with existing video. Pass e
- get_job_status: Check a speech job created earlier. Returns status (PENDING | SUCCESS | ERROR) and audio_url once SUCCESS. Never guess or fetch an audio URL before SUCCESS.
- list_recent_jobs: List the user's most recent speech jobs with status and audio URLs, to reuse earlier audio instead of paying again.
- get_job_detail: Get a multi_voice_to_speech or srt_to_speech job with every segment: text, voice and its own audio_url, plus the merged audio. Use it to build captions or a Remotion/NLE timeline (one <Sequence> per segment; measure each file's duration in the renderer).
- create_upload_url: Get a one-time URL to upload a local video or audio file (mp4, mov, webm, mkv, mp3, wav, m4a...) up to 2 GB. Upload with HTTP PUT of the raw bytes, e.g. `curl -T video.mp4 "<upload_url>"` (valid 15 minutes), then pass `public_url` to transcribe_media or localize_video. Only files
- transcribe_media: Speech-to-text for an uploaded video or audio file: returns timestamped SRT (the timeline to rewrite, translate or re-voice with srt_to_speech). Credits are charged per second of media, measured by the server. Use language = the spoken language code from list_languages.
- get_transcription: Check a transcribe_media job and get its SRT once finished.
- estimate_video_localization: Estimate the credits to dub one video into one or more languages (speech-to-text + translation + voice + video merge) before running localize_video. Pass video_url (duration is measured) or duration_seconds.
- localize_video: Full automatic dubbing of an uploaded video: transcribe once, translate, voice every target language with its own voice and render a dubbed video per language. Each language returns an audio_url (voice track aligned to the original timeline - upload it to YouTube Studio as a mult
- get_localization_status: Status of localize_video jobs: current step, and when Completed the dubbed audio_url, final_video_url and translated SRT for each language.

Screening checks:
- MCP handshake: pass (Answered in 450ms)
- Domain against threat feeds (Cloudflare security DNS): pass (api.ttsforfree.com, ttsforfree.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (21 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 523 days ago)
- AI review of purpose and tool behavior: pass (No concerns)