Pronunciation Assessment MCP Server

Pronunciation Assessment

Analyze spoken language to provide immediate feedback on pronunciation accuracy and fluency. Identify specific phonetic errors to help learners improve their speaking skills in real-time. Guide users…

Quick Start

# Connect this server (installs CLI if needed)
npx -y smithery mcp add fabiosuizu/pronunciation-assessment

# Browse available tools
npx -y smithery tool list fabiosuizu/pronunciation-assessment

# Get full schema for a tool
npx -y smithery tool get fabiosuizu/pronunciation-assessment assess_pronunciation

# Call a tool
npx -y smithery tool call fabiosuizu/pronunciation-assessment assess_pronunciation '{}'

Direct MCP Connection

Endpoint: https://pronunciation-assessment--fabiosuizu.run.tools

Required config:

• apiKey (query) — Your APIM subscription key

Tools (10)

• assess_pronunciation — Assess English pronunciation quality from audio.
• check_pronunciation_service — Check if the pronunciation assessment service is healthy and ready.
• get_phoneme_inventory — Get the full phoneme inventory supported by the pronunciation scorer.
• transcribe_audio — Transcribe audio to text with word-level timestamps.
• check_stt_service — Check if the speech-to-text service is healthy and ready.
• synthesize_speech — Generate natural speech audio from English text.
• list_tts_voices — List all available text-to-speech voices with metadata.
• check_tts_service — Check if the text-to-speech service is healthy and ready.
• transcribe_audio_pro — Transcribe audio with Whisper Large V3 Turbo — multilingual STT.
• check_whisper_service — Check if the Whisper STT Pro service is healthy and ready.

# Get full input/output schema for a tool
npx -y smithery tool get fabiosuizu/pronunciation-assessment <tool-name>

Resources

• pronunciation://scoring-guide — How pronunciation scores work at each granularity level.
• pronunciation://audio-requirements — Supported audio formats, quality requirements, and recording tips.
• whisper://usage-guide — How to use the Whisper STT Pro multilingual transcription service.
• pronunciation://model-info — Performance benchmarks and service characteristics.
• pronunciation://response-schema — Full API response structure with field descriptions.
• pronunciation://example-assessment — Real example showing how to interpret a pronunciation assessment.
• stt://usage-guide — How to use the speech-to-text transcription service.
• tts://usage-guide — How to use the text-to-speech synthesis service.

Prompts (3)

• analyze_pronunciation (assessment_json) — Analyze pronunciation assessment results and provide actionable feedback.
• create_improvement_plan (assessment_json, learner_level) — Create a structured pronunciation improvement plan based on assessment results.
• compare_attempts (attempt1_json, attempt2_json) — Compare two pronunciation attempts of the same text to track progress.