A
licenseA
qualityC
maintenanceAI-powered speech tools by Brainiall: pronunciation assessment with phoneme-level feedback, speech-to-text with language detection, and text-to-speech with multiple voices.
4
1
MIT
mcp-server-pronunciation
by JuhongPark
Related Servers
Alternatives to mcp-server-pronunciation
Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables portable English language instruction through MCP, owning learner identity, curriculum, and learner model while any host LLM delivers conversational teaching, sessions, and assessment.1-
- FlicenseNot gradedqualityCmaintenanceEnables local document question-answering and retrieval via MCP, supporting multi-turn conversation, intent recognition, and tools for document search, Q&A, and summarization.5-
- AlicenseNot gradedqualityAmaintenanceProvides local speech-to-text and text-to-speech through MCP and HTTP, enabling transcription, voice output, and standalone voice workflows without a gateway.MIT
- AlicenseNot gradedqualityAmaintenanceLocal voice toolkit over MCP: transcribe audio to text in 25 languages, synthesize speech in 9, and list available voices and languages. Runs fully on-device — no API keys, no cloud.177 npm74MIT
- FlicenseNot gradedqualityNot gradedmaintenanceA local voice interface providing high-performance speech recognition and natural text-to-speech with voice cloning capabilities. It enables AI assistants to speak, listen, and engage in character-based voice conversations through integrated MCP tools.-
- AlicenseNot gradedqualityCmaintenanceLocal voice and AI platform for macOS offering speech recognition, speech synthesis, MLX-based inference, OpenAI-compatible APIs, and MCP tools for use as an assistant or integration gateway.MIT
TDQS
A4.4/5.0
Scored across 8 tools
Disambiguation5/5
Each tool has a distinct purpose: check_mic for microphone setup, record for raw audio, practice for sentence drills, assess for detailed evaluation, converse for free-form conversation, quick_practice for random drills, retry for repeating, and suggest_sentence for generating sentences. No two tools overlap significantly in functionality.
Naming Consistency3/5
Naming conventions are mixed: some tools use single verbs (assess, converse, practice, record, retry), while others use verb_noun with underscores (check_mic, suggest_sentence) and one uses adjective_verb (quick_practice). This inconsistency reduces predictability, though the names are still clear.
Tool Count5/5
8 tools is a well-scoped number for a pronunciation practice server. It covers all essential workflows—microphone check, recording, assessment, practice, conversation, retry, and sentence suggestion—without being excessive or insufficient.
Completeness5/5
The tool set covers the full domain of pronunciation practice: checking audio input, recording, assessing with or without reference, free-form conversation, focused drills, random practice, retrying, and generating practice sentences. There are no obvious gaps for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessResponsive