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supertone-inc/supertone-mcp

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[](https://glama.ai/mcp/servers/supertone-inc/supertone-mcp) 🐍 ☁️ 🍎 πŸͺŸ 🐧 - High-quality Supertone TTS API: generate speech, search & preview the voice catalog, predict duration/

S

MCP

supertone-inc/supertone-mcp

Added 7 June 2026

Overview

An MCP server that wraps the Supertone TTS API, enabling speech generation from text, voice catalog search and preview, and duration prediction. It is written in Python and uses the Model Context Protocol for integration with AI agents and tools.

Best for

Best for
Developers building AI agents or tools that need high-fidelity speech generation via MCP.

Use cases

  • Generate natural speech from text for voice assistants or narrations
  • Search and preview voice samples from the Supertone catalog programmatically
  • Predict the duration of speech output for scheduling or UI timing

Notes

An MCP server that wraps the Supertone TTS API, enabling speech generation from text, voice catalog search and preview, and duration prediction. It is written in Python and uses the Model Context Protocol for integration with AI agents and tools.

2 stars on GitHub. Last updated 2026-06-05.

Use cases

  • Generate natural speech from text for voice assistants or narrations
  • Search and preview voice samples from the Supertone catalog programmatically
  • Predict the duration of speech output for scheduling or UI timing

Pros

  • High-quality, realistic TTS output from Supertone’s engine
  • Voice catalog search and preview reduce manual auditioning
  • MCP integration allows easy plug-in to AI agent platforms

Cons

  • Very small community and low GitHub stars indicate limited adoption
  • Requires Supertone API access and Python environment
  • Tied to a single TTS provider (not vendor-agnostic)

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • High-quality, realistic TTS output from Supertone's engine
  • Voice catalog search and preview reduce manual auditioning
  • MCP integration allows easy plug-in to AI agent platforms

Cons

  • Very small community and low GitHub stars indicate limited adoption
  • Requires Supertone API access and Python environment
  • Tied to a single TTS provider (not vendor-agnostic)