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Convert text into natural-sounding speech audio through an MCP server.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Texttospeech Mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-varvararatta-texttospeech-mcp' 'https://texttospeech-mcp.mcpize.run/mcp'
Convert the following product introduction into a Chinese female voiceover with a professional and friendly tone at a moderate pace, and return a playable audio result: 'This smartwatch supports heart rate monitoring, sleep analysis, and all-day battery life.'
A natural-sounding product introduction audio clip suitable for promotion.
Turn the following text into English speech in a podcast narration style with clear pronunciation: 'Artificial intelligence is changing how people work, learn, and create.'
A clear and smooth English narration audio clip for podcasts or content previews.
Convert this notice into a concise and formal Chinese spoken announcement: 'The meeting will start at 3 PM. Please enter the meeting room five minutes early.'
A concise and formal announcement audio clip suitable for office or public playback.
Convert speech into text for note-taking, organization, and analysis.
Run security checks, reviews, and automated analysis through an MCP server.
Connect to a legal MCP service for law research and document support.
Search and look up TV show information through the TV Maze MCP server.
Connect to a research MCP server for finding, organizing, and analyzing information.
Access and organize environment and nature information for research and analysis.
Access text-to-speech, speech-to-text, and voice management via ElevenLabs API.
Convert text to speech via one interface with local and cloud engines.
Adds speech recognition and text-to-speech for converting audio and text.
Convert text into speech with Google TTS, voices, and style templates.
Run local speech-to-text and text-to-speech with configurable engine switching.
Convert text into high-quality multilingual speech with Azure Speech Services.