Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Generate AI voices, text-to-speech, subtitles, transcription, and video localization.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://api.ttsforfree.com/mcpFühre das in deinem Terminal aus
claude mcp add --transport http ttsforfree https://api.ttsforfree.com/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"ttsforfree": {
"url": "https://api.ttsforfree.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"ttsforfree": {
"type": "http",
"url": "https://api.ttsforfree.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://api.ttsforfree.com/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 7. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
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 t
get_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 e
get_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 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 " "` (valid 15 minutes), then pass `public_url` to transcribe_media or localize_video. Only files uploaded h
transcribe_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 mult
get_localization_statusStatus of localize_video jobs: current step, and when Completed the dubbed audio_url, final_video_url and translated SRT for each language.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto CalmNguyen bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 663 ms (HTTP 200)
Keine Anmeldung nötig
Wir haben 21 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.0) kam vor 17 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Text-to-speech, multi-voice podcasts, subtitle voiceovers, transcription and video dubbing for Claude and any other MCP client. Thousands of AI voices in 100+ languages, returned as hosted MP3 URLs.
https://api.ttsforfree.com/mcp (Streamable HTTP, remote, nothing to install)X-API-Key header) also works for scripts and agents.io.github.CalmNguyen/ttsforfreeA free plan is included. Paid generation uses your TTSForFree credits.
https://api.ttsforfree.com/mcpclaude mcp add --transport http ttsforfree https://api.ttsforfree.com/mcp
Then run /mcp → ttsforfree → Authenticate. With an API key instead:
claude mcp add --transport http ttsforfree https://api.ttsforfree.com/mcp \
--header "X-API-Key: YOUR_API_KEY"
{
"mcpServers": { "ttsforfree": { "url": "https://api.ttsforfree.com/mcp" } } }
Add "headers": { "X-API-Key": "YOUR_API_KEY" } if the client does not support OAuth. Get an API key at ttsforfree.com/en/profile.
curl https://api.anthropic.com/v1/messages \
-H "x-api-key: $ANTHROPIC_API_KEY" \ -H "anthropic-version: 2023-06-01" \ -H "anthropic-beta: mcp-client-2025-11-20" \ -H "content-type: application/json" \ -d '{ "model": "claude-opus-5-5", "max_tokens": 2048, "mcp_servers": [{ "type": "url", "name": "ttsforfree", "url": "https://api.ttsforfree.com/mcp", "authorization_token": "YOUR_TTSFORFREE_API_KEY" }], "tools": [{ "type": "mcp_toolset", "mcp_server_name": "ttsforfree" }], "messages": [{ "role": "user", "content": "Read this in a warm British voice: Welcome to our channel!" }] }'
| Ask Claude | Tools it uses |
|---|---|
| "Read this lesson in a calm British voice from my favorites." | list_favorite_voices → text_to_speech |
| "Turn this article into a 2-host podcast, one MP3." | multi_voice_to_speech → get_job_detail |
| "Translate this SRT to Spanish, keep the timestamps, voice it, give me the ffmpeg command." | srt_to_speech → get_job_status |
| "Transcribe this video into an SRT file." | create_upload_url → transcribe_media |
| "Dub this video into Vietnamese, Spanish and Japanese for YouTube. Cost first." | create_upload_url → estimate_video_localization → localize_video → get_localization_status |
| "Make me a young male voice that reviews stories, southern Vietnamese accent." | design_custom_voice |
Video walkthroughs: ttsforfree.com/en/claude-tts-connector.
| Tool | Type | What it does |
|---|---|---|
list_languages | read | All supported languages and their codes. |
list_voices | read | Search voices by language, gender, provider and keywords ("warm narrator"). |
get_voice_details | read | Persona, use case, accent, styles, preview audio and credit cost of one voice. |
list_favorite_voices | read | The user's favorite voices, in saved order. |
list_my_custom_voices | read | Personal voices from Voice Design / Voice Clone and the remaining quota. |
add_favorite_voice | write | Save a voice to favorites. |
remove_favorite_voice | write | Remove a voice from favorites. |
design_custom_voice | write | Create a new personal voice from a text description. |
get_account_status | read | Plan, remaining credits, per-request limits and API rate limits. |
text_to_speech | job | One text + one voice → MP3 (narration, articles, lessons). |
multi_voice_to_speech | job | Ordered segments with different voices → one MP3 (podcast, dialogue). |
srt_to_speech | job | SRT/WebVTT or timed segments → timeline-aligned MP3 + ffmpeg merge commands. |
get_job_status | read | Poll a job until SUCCESS and get the audio URL. |
list_recent_jobs | read | Recent jobs with audio URLs, to reuse instead of paying twice. |
get_job_detail | read | Per-segment audio of a multi-voice/SRT job (for Remotion and captions). |
create_upload_url | write | One-time upload URL for a local video/audio file (PUT, up to 2 GB). |
transcribe_media | job | Video/audio → timestamped SRT (speech-to-text). |
get_transcription | read | Status and SRT of a transcription. |
estimate_video_localization | read | Credit estimate to dub a video into several languages. |
localize_video | job | Dub one video into many languages: audio track + dubbed video per language. |
get_localization_status | read | Progress and results (audio URL for YouTube, dubbed video, SRT) per language. |
job tools are asynchronous: they return a job_id, and the client polls the matching status tool until SUCCESS.
Prompts: youtube_multi_language_audio, video_voiceover, podcast_episode, narrate_text.
Open an issue in this repository or contact us via ttsforfree.com/en/contact.
server.json is the entry published to the MCP Registry. To publish an update, bump version in server.json and push a tag vX.Y.Z (or run the *Publish to MCP Registry* workflow manually). The workflow signs in with GitHub OIDC, so no secret is needed.