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Glama
balloonf

Windows TTS MCP Server

by balloonf

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
speakC

텍스트를 음성으로 읽어줍니다

speak_fastB

텍스트를 빠른 속도로 읽어줍니다

speak_slowC

텍스트를 천천히 읽어줍니다

speak_quietB

텍스트를 작은 볼륨으로 읽어줍니다

speak_shortB

짧은 텍스트를 즉시 읽어줍니다 (100자 이하)

stop_speechB

현재 재생 중인 모든 음성을 중지합니다

kill_all_ttsB

모든 TTS 관련 프로세스를 강제 종료합니다

get_tts_statusB

현재 TTS 상태를 확인합니다

emergency_silenceB

긴급 음소거 - 모든 오디오 중지 + 시스템 음소거

test_ttsC

TTS 시스템 테스트

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
get_helpTTS 서버 사용 방법

TDQS

B3.1/5.0

Scored across 10 tools

Disambiguation3/5

The tools have clear distinctions in their primary functions (e.g., speak variants vs. control functions like stop_speech), but there is significant overlap among the speak_* tools (speak, speak_fast, speak_quiet, speak_short, speak_slow), which could cause confusion as they all handle text-to-speech with minor parameter variations. Descriptions help differentiate them, but the boundaries are fuzzy for an agent.

Naming Consistency4/5

Tool names follow a consistent snake_case pattern throughout, with clear verb_noun structures (e.g., speak_text, stop_speech, get_tts_status). There are minor deviations like 'emergency_silence' (which is noun_verb) and 'kill_all_tts' (which uses 'kill' instead of a more standard verb like 'stop'), but overall the naming is predictable and readable.

Tool Count4/5

With 10 tools, the count is reasonable for a TTS server, covering core operations like speaking, stopping, and status checks. It might be slightly over-scoped due to multiple speak variants, but each tool serves a distinct purpose in the domain, making it manageable and well-scoped for typical use cases.

Completeness4/5

The toolset covers essential TTS functionalities: speaking with variations (speed, volume, length), stopping speech, checking status, testing, and emergency controls. Minor gaps exist, such as lack of tools for adjusting voice parameters (e.g., pitch, gender) or handling multiple languages, but core workflows are adequately supported without dead ends.