Voice Coach
Gives Claude ears: local pitch, pronunciation and public-speaking analysis for voice coaching.
Connector by FabianIMV · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/fabianimv-voice-coach-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.
- Tools
- 4 read · 2 write · 0 delete · 1 not yet classified
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Tools by what they do 7
Read from the source code; the running server may list different tools.
Read 4 · Look things up without changing anything.
analyze_pitchassess_pronunciationread_progressspeech_metrics
Write 2 · Create, change, send or run things.
log_progressrecord_audio
Not yet classified 1 · We could not tell from the name and description.
transcribe
Secrets and settings it asks for
Other settings (environment variables or headers).
VOICE_COACH_DIRVOICE_COACH_WHISPER_MODEL
Network hosts it talks to 2
github.com· found in codeglama.ai· found in code
Files it touches
/opt/homebrew/lib/libespeak-ng.dylib/usr/local/lib/libespeak-ng.dylib~/VoiceCoach
Tools (7)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
analyze_pitchAnalyze pitch accuracyMeasures the pitch accuracy of sung audio (solo voice, one melodic line). Args: audio: audio path (wav/flac/mp3/m4a) or a name returned by record_audio. reference_midi: optional path to a .mid with the expected melody. Tolerates singing an octave up/down, starting at another moment and a somewhat different tempo. key: optional when there is no MIDI, e.g. "A minor", "G major", "F#" (Spanish names such as "La menor" also work): each note is compared with the nearest note of that scale. Without it, with the nearest equal-tempered note. midi_track: index of…
assess_pronunciationAssess pronunciationCompares the pronounced phonemes with the expected ones for a text read aloud (English). Args: audio: audio path or a name returned by record_audio (up to 60 s; short sentences work best). expected_text: the exact text that was read. language: "en-US" (default) or "en-GB". Returns `summary` (overall_score 0–100, words_with_errors, error counts by type, frequent_confusions expected→detected) and `words`: word, score, t (s) and, when there are errors, expected/detected in IPA and errors [{type: substitution|deletion|insertion, expected, detected}]; `missing` when the word was not s…
log_progressLog progressAppends a session to the progress log (~/VoiceCoach/progress.md). Args: entry: markdown of the session. It should start with "## YYYY-MM-DD · mode · exercise"; if it does not start with "## ", the date and time are added as the title.
read_progressRead progress logReads the latest sessions from the progress log (~/VoiceCoach/progress.md). Use it at the start of a session to pick up the previous focus. Returns `file`, `total_entries` and `entries` (markdown of each session, oldest to newest).
record_audioRecord audioRecords from the computer's microphone and saves a 16 kHz mono .wav. Args: seconds: recording length (max 120 by default). Tell the user before calling. name: optional file name (without extension); defaults to date and time. Returns `audio` (path of the .wav), levels (peak/RMS in dBFS, estimated SNR, % clipping), `confidence` and `warnings`. The `no_microphone_permission` warning means macOS delivered no audio: the user must enable the microphone for the app in System Settings.
speech_metricsSpeech metricsMeasures pace, pauses, filler words and pitch/volume variation of a speech. Args: audio: audio path or a name returned by record_audio. language: language of the speech ("en" or "es"; filler lists exist for both). pause_threshold_s: minimum silence between words to count as a long pause. Returns: - `pace`: words, speaking_time_s, words_per_minute, wpm_excluding_long_pauses. - `pauses`: count, total_s, max_s, per_minute and items [{t, dur, after: previous word}]. - `fillers`: total, per_minute, by_type and occurrences [{t, text}]. Ambiguous words ("like", "so") only count when i…
transcribeTranscribe audioTranscribes audio with timestamps (faster-whisper, local). Args: audio: audio path or a name returned by record_audio. language: "en", "es", "en-US", "Spanish"…; auto-detected when omitted. Returns `language`, `language_prob`, `text`, `segments` [{t, end, text}] and `words` [{w, t, end}]. If it does not fit, words are dropped first and then segments (everything stays in `full_details`). The first call downloads the model (VOICE_COACH_WHISPER_MODEL).
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Weekly downloads
- 182
- Last commit
- Oct 23, 2026 (7 days ago)
- Last release
- Oct 23, 2026 (7 days ago)
- Last package publish
- Oct 23, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.FabianIMV/voice-coach-mcp- Version
- 0.1.1
- Auth
- No auth
- Packages
- pypi voice-coach-mcp
- License
- MIT
- Repository
- github.com/FabianIMV/voice-coach-mcp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Voice Coach MCP server. Agent Mart. https://agentmart.dev/connectors/fabianimv-voice-coach-mcp (last updated 2026-10-24)