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Edge-TTS MCP Server

by yuiseki
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Python
Hybrid

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    Related Servers

    • Edge TTS MCP

      Hwenyi
      A
      license
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      quality
      D
      maintenance
      An MCP server that converts text into lifelike speech using Microsoft Edge's Text-to-Speech service, supporting customizable voice, rate, volume, and pitch.
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    • Edge-TTS MCP Server

      yangwuan55
      F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that leverages the Microsoft Edge TTS service to provide high-quality text-to-speech capabilities across over 80 languages. It enables users to generate audio files, query available voices, and create subtitle files using natural language commands.
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    • TTS-MCP

      nakamurau1
      A
      license
      Not graded
      quality
      C
      maintenance
      A Model Context Protocol server that integrates high-quality text-to-speech capabilities with Claude Desktop and other MCP-compatible clients, supporting multiple voice options and audio formats.
      6 npm
      1
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: one lists available voices, the other converts text to speech. There is no overlap or ambiguity between them, making it easy for an agent to select the correct tool for each task.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun naming pattern (list_voices, text_to_speech). The naming is clear, predictable, and adheres to a uniform style throughout the tool set.

    Tool Count2/5

    With only 2 tools, the server feels thin for a text-to-speech domain. While the tools cover core functionality, typical TTS systems might include additional operations like voice configuration, audio format settings, or batch processing, suggesting the scope is under-served.

    Completeness3/5

    The tools cover basic TTS operations (listing voices and converting text), but there are notable gaps. For example, there is no tool for configuring voice parameters (e.g., pitch, rate) or managing audio output formats, which could limit agent capabilities in more complex scenarios.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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