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Generate multilingual text-to-speech audio for MCP clients with watermarked output.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Gandr-AI/gandr-mcp" MCP server from askskill: Run: claude mcp add 'io-github-gandr-ai-gandr-mcp' -- npx -y gandr-mcp
Convert this product introduction into Spanish speech, choose a natural-sounding voice, and return playable audio output.
A Spanish speech audio file for demo or preview use, with watermarking applied.
Turn this message into English speech: 'Your meeting will start in ten minutes.' Please provide a clear announcer-style version.
A clear English spoken prompt suitable for alerts or notifications, with watermarking.
Generate the same Chinese script with several different voices so I can compare which one fits short-form video narration best.
Multiple audio versions of the same text for voice comparison, each with watermarking.
Developers can call this tool from MCP-compatible clients to turn text into speech for prototypes, demos, or voice-enabled content.
Writers or marketers can convert the same script into multiple languages to prepare audio previews or review materials quickly.
When a team needs to choose among voice styles, they can generate multiple versions from the same text and compare the results before deciding.
It is a text-to-speech tool for MCP clients. Based on the provided information, it supports 23 languages, 6 voices, and every rendered result is watermarked.
The provided description says it supports 23 languages and 6 voices. For the exact language list or voice names, see the source repository.
Yes. The original description explicitly states 'every render watermarked,' meaning all generated speech outputs include a watermark.
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