Blender integration through the Model Context Protocol
Brainiall Pronunciation is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Pronunciation assessment, phoneme scoring, speaker voice ID, audio transcription, speech synthesis.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http brainiall-pronunciation-mcp https://api.brainiall.com/mcp/pronunciation/mcp
# 2 — ask your agent for something these tools do
# assess_pronunciation, check_pronunciation_service, get_phoneme_inventory and 11 more
Brainiall Pronunciation costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http brainiall-pronunciation-mcp https://api.brainiall.com/mcp/pronunciation/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
14 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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, OGG, and WebM formats. text: The reference English text that the speaker was expected to read
| Parameter | Type | Required | Notes |
|---|---|---|---|
| audio_base64 | string | yes | Base64-encoded audio data. Supports WAV, MP3, OGG, and WebM formats. |
| text | string | yes | The reference English text that the speaker was expected to read aloud. |
| audio_format | string | no | Audio format hint — one of 'wav', 'mp3', 'ogg', 'webm'. |
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
No parameter schema on file.
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: - arpabet (str): ARPAbet symbol (e.g. 'AA', 'TH') - ipa (str): IPA notation - example (str
No parameter schema on file.
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 magic bytes if omitted. include_timestamps: Whether to include word-level timing (default: true).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| audio_base64 | string | yes | Base64-encoded audio data. Supports WAV, MP3, OGG, FLAC, and WebM formats. |
| audio_format | no | Audio format hint — 'wav', 'mp3', 'ogg', 'flac', 'webm'. Auto-detected if omitted. | |
| include_timestamps | boolean | no | If true, include word-level start/end times and confidence. |
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
No parameter schema on file.
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).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| audio | string | yes | Base64-encoded WAV with >= 2s of clear speech |
| speaker_id | string | yes | Your identifier for this speaker |
| group_id | string | yes | The group/namespace this speaker belongs to |
1:1 verification — is this clip the enrolled speaker? Returns: dict with keys: similarity (float), match (bool), threshold (float).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| audio | string | yes | Base64-encoded WAV of the clip to check |
| speaker_id | string | yes | The enrolled speaker to verify against |
| group_id | string | yes | The group/namespace |
| threshold | no | Optional cosine-similarity threshold (defaults to a tuned value); higher = stricter |
1:N identification — rank everyone enrolled in the group against this clip. Returns: dict with keys: candidates (list of {speaker_id, similarity}, best first).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| audio | string | yes | Base64-encoded WAV of the clip to identify |
| group_id | string | yes | The group/namespace to search within |
| top_k | integer | no | How many candidate speakers to return |
List the speakers enrolled in a group. Returns: dict with keys: speakers (list of {speaker_id, n_samples, ...}).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| group_id | string | yes | The group/namespace to list |
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 (American male) - bf_emma, bf_isabella (British female) - bm_george, bm_lewis, bm_daniel (British m
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | English text to convert to speech. Max 5000 characters. |
| voice | no | Voice ID (e.g. 'af_heart', 'am_adam'). Uses default if omitted. | |
| speed | number | no | Speech speed multiplier (0.5 = half speed, 2.0 = double). |
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
No parameter schema on file.
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
No parameter schema on file.
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: Base64-encoded audio (WAV, MP3, OGG, FLAC, WebM). language: Language code. Auto-detected if omitt
| Parameter | Type | Required | Notes |
|---|---|---|---|
| audio_base64 | string | yes | Base64-encoded audio data. Supports WAV, MP3, OGG, FLAC, and WebM formats. |
| language | no | Language code (e.g. 'en', 'es', 'zh'). Auto-detected when omitted. | |
| diarize | boolean | no | Enable speaker diarization to identify who spoke each word. |
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 - version (str): API version - modelName (str): Engine version identifier
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Brainiall Pronunciation or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Brainiall Pronunciation can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.