Yes, Ttsforfree is free to use.

How do I install Ttsforfree?

Ttsforfree is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Ttsforfree safe to use?

Yes. Ttsforfree passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Ttsforfree?

Ttsforfree uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Ttsforfree MCP Server

by CalmNguyen

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Generate AI voices, text-to-speech, subtitles, transcription, and video localization.

About

Generate AI voices, text-to-speech, subtitles, transcription, and video localization.

Remote endpoints: streamable-http: https://api.ttsforfree.com/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

21 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-calmnguyen-ttsforfree": {
      "url": "https://api.ttsforfree.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

TTSForFree MCP server

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.

Server URL: https://api.ttsforfree.com/mcp (Streamable HTTP, remote, nothing to install)
Sign-in: OAuth. Click Connect and sign in to TTSForFree. No API key needed. An API key (X-API-Key header) also works for scripts and agents.
Registry: io.github.CalmNguyen/ttsforfree
Website: ttsforfree.com · setup guide: ttsforfree.com/en/claude-tts-connector

A free plan is included. Paid generation uses your TTSForFree credits.

Connect

Claude (claude.ai, Desktop, mobile)

Settings → Connectors → Add custom connector
URL: https://api.ttsforfree.com/mcp
Click Connect, sign in to TTSForFree and allow access.

Claude Code

claude 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"

Cursor, VS Code and other clients

{
  "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.

Claude API (MCP connector)

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!" }]
  }'

What you can ask

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.

Tools (21)

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.

Privacy and data

OAuth access is scoped to your TTSForFree account and can be revoked any time from your TTSForFree profile (Connected apps).
Text, subtitles and uploaded media are processed only to produce the audio, subtitles or video you asked for.
Privacy policy: ttsforfree.com/en/privacy-policy

Support

Open an issue in this repository or contact us via ttsforfree.com/en/contact.

Registry metadata

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.

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