MCP server

Brainiall Pronunciation Official

com.brainiall/pronunciation

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Pronunciation assessment, phoneme scoring, speaker voice ID, audio transcription, speech synthesis.

Website

At a glance

Type

MCP server

Publisher

brainiall.com (verified by the MCP Registry)

Status

Working at last check

Tools

14

Token cost

About 3,205 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http pronunciation https://api.brainiall.com/mcp/pronunciation/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.pronunciation]
url = "https://api.brainiall.com/mcp/pronunciation/mcp"

Gemini CLI

{"mcpServers":{"pronunciation":{"httpUrl":"https://api.brainiall.com/mcp/pronunciation/mcp"}}}

Cursor

{"mcpServers":{"pronunciation":{"url":"https://api.brainiall.com/mcp/pronunciation/mcp"}}}

VS Code

{"servers":{"pronunciation":{"type":"http","url":"https://api.brainiall.com/mcp/pronunciation/mcp"}}}

Antigravity

agy mcp add pronunciation https://api.brainiall.com/mcp/pronunciation/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"pronunciation","server_url":"https://api.brainiall.com/mcp/pronunciation/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"pronunciation","server_url":"https://api.brainiall.com/mcp/pronunciation/mcp"}

Tools

• assess_pronunciation ~496 tokens
  Assess English pronunciation quality from audio. Scores pronunciation at four levels: overall, sentence, word, and phoneme. Each score is 0-100. Phonemes are returned in both IPA and ARPAbet notation. Sub-300ms inference latency. Args: audio_base64: Base64-encoded audio data. Supports WAV, MP3
• check_pronunciation_service ~103 tokens
  Check if the Brainiall Pronunciation service is healthy and ready. Returns: dict with keys: - status (str): 'healthy' or error state - modelLoaded (bool): Whether the scoring model is loaded - version (str): API version
• check_stt_service ~101 tokens
  Check if the Brainiall Speech service is healthy and ready. Returns: dict with keys: - status (str): 'healthy' or error state - modelLoaded (bool): Whether the speech-recognition model is loaded - version (str): API version
• check_tts_service ~98 tokens
  Check if the Brainiall Voice service is healthy and ready. Returns: dict with keys: - status (str): 'healthy' or error state - modelLoaded (bool): Whether the synthesis model is loaded - version (str): API version
• check_whisper_service ~141 tokens
  Check if the Brainiall Speech Pro service is healthy and ready. Returns: dict with keys: - status (str): 'healthy' or error state - modelLoaded (bool): Whether the Brainiall Speech Pro engine is loaded - diarizeLoaded (bool): Whether the diarization pipeline is loaded
• get_phoneme_inventory ~173 tokens
  Get the full phoneme inventory supported by the pronunciation scorer. Returns a list of all English phonemes the engine can assess, including ARPAbet symbol, IPA equivalent, example word, and phoneme category (vowel, consonant, diphthong). Returns: list of dicts, each with keys: - arpa
• list_tts_voices ~93 tokens
  List all available Brainiall Voice synthesis voices with metadata. Returns: dict with keys: - voices (list): Available voices, each with id, name, gender, accent, grade - defaultVoice (str): Default voice ID
• synthesize_speech ~406 tokens
  Generate natural speech audio from English text. Produces high-quality speech with 12 English voices. Returns base64-encoded WAV audio (16-bit PCM, 24kHz mono) along with metadata. Available voices: - af_heart (default), af_bella, af_nicole, af_sarah, af_sky (American female) - am_adam, am_michael
• transcribe_audio ~444 tokens
  Transcribe audio to text with word-level timestamps. Converts spoken English audio into text with optional word-level timestamps and per-word confidence scores. Args: audio_base64: Base64-encoded audio data (WAV, MP3, OGG, FLAC, WebM). audio_format: Audio format hint. Auto-detected from ma
• transcribe_audio_pro ~487 tokens
  Transcribe audio with Brainiall Speech Pro — multilingual transcription. Supports 99 languages with automatic language detection, word-level timestamps, per-word confidence scores, and optional speaker diarization (identifies who spoke each word). Best-in-class WER (~2%). Args: audio_base64: B
• voice_id_enroll ~194 tokens
  Enroll a voiceprint for a speaker from ~2s of clear speech. Repeat with more clips to strengthen it. Only an irreversible embedding is stored — never the raw audio. Returns: dict with keys: speaker_id (str), n_samples (int), enrolled (bool).
• voice_id_identify ~170 tokens
  1:N identification — rank everyone enrolled in the group against this clip. Returns: dict with keys: candidates (list of {speaker_id, similarity}, best first).
• voice_id_list_speakers ~95 tokens
  List the speakers enrolled in a group. Returns: dict with keys: speakers (list of {speaker_id, n_samples, ...}).
• voice_id_verify ~204 tokens
  1:1 verification — is this clip the enrolled speaker? Returns: dict with keys: similarity (float), match (bool), threshold (float).

Browse

• Text to speech
• Speech to text
• Searching your documents (RAG)

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