Convert text to AI voices, transcribe media, and dub videos into multiple languages.
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.
Try asking Muse: "Dub my YouTube video into Spanish and French with native speakers' voices."
Source: Found in the official MCP Registry (io.github.CalmNguyen/ttsforfree) · First listed October 29, 2026
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Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. 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.
https://api.ttsforfree.com/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
TTSForFree 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://api.ttsforfree.com/mcpResponse time at the last check: 450ms. Worked in n/a of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
list_languagesList every language supported by TTSForFree text-to-speech. Returns language codes to pass to list_voices.list_voicesSearch 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 tget_voice_detailsGet full metadata for one voice token: persona, use case, accent, pitch, styles, preview audio and credit cost.list_my_custom_voicesList 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_voicesList the voices the user marked as favorites, in their saved order. Check this first when the user did not name a voice.add_favorite_voiceSave a voice to the user's favorites (only when the user asks).remove_favorite_voiceRemove a voice from the user's favorites (only when the user asks).design_custom_voiceCreate 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_statusShow 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_speechConvert 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_speechRender 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_speechCreate 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 eget_job_statusCheck 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_jobsList the user's most recent speech jobs with status and audio URLs, to reuse earlier audio instead of paying again.get_job_detailGet 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_urlGet 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 filestranscribe_mediaSpeech-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_transcriptionCheck a transcribe_media job and get its SRT once finished.estimate_video_localizationEstimate 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_videoFull 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 multget_localization_statusStatus of localize_video jobs: current step, and when Completed the dubbed audio_url, final_video_url and translated SRT for each language.https://api.ttsforfree.com/mcpNot 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.
At the last check (October 29, 2026, 20:21 UTC) the endpoint was working, answering in 450ms. It is checked every 15 minutes.
It was screened on October 29, 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 21 tools, including list_languages, list_voices, get_voice_details, list_my_custom_voices. For example, you could ask Muse: "Dub my YouTube video into Spanish and French with native speakers' voices."
This listing was added from public sources (Found in the official MCP Registry (io.github.CalmNguyen/ttsforfree)). If you build TTSForFree, claim it to correct the details and get your badge.
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