Index / MCP servers / Speech AI - Pronunciation, STT & TTS

Speech AI - Pronunciation, STT & TTS MCP server

Speech AI - Pronunciation, STT & TTS is an MCP server with 10 tools an agent can call, among them assess_pronunciation, check_pronunciation_service, check_stt_service. It answers at https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.

Status
Answering
Tools
10
Reliability
6 of 10 checks
Response time
319 ms
Transport
streamable HTTP
Last checked
18 October 2026

Pronunciation scoring, speech-to-text, and text-to-speech for language learning

Description as the publisher wrote it.

The 10 tools Speech AI - Pronunciation, STT & TTS offers

ToolWhat it does
assess_pronunciationAssess 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: audi
Inputs: audio_base64, text, audio_format
check_pronunciation_serviceCheck if the pronunciation assessment 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_serviceCheck if the speech-to-text service is healthy and ready. Returns: dict with keys: - status (str): 'healthy' or error state - modelLoaded (bool): Whether the STT model is loaded - version (str): API version
check_tts_serviceCheck if the text-to-speech service is healthy and ready. Returns: dict with keys: - status (str): 'healthy' or error state - modelLoaded (bool): Whether the TTS model is loaded - version (str): API version
check_whisper_serviceCheck if the Whisper STT Pro service is healthy and ready. Returns: dict with keys: - status (str): 'healthy' or error state - modelLoaded (bool): Whether the Whisper model is loaded - diarizeLoaded (bool): Whether the diarization pipeline
get_phoneme_inventoryGet 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).
list_tts_voicesList all available text-to-speech voices with metadata. Returns: dict with keys: - voices (list): Available voices, each with id, name, gender, accent, grade - defaultVoice (str): Default voice ID
synthesize_speechGenerate 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
Inputs: text, voice, speed
transcribe_audioTranscribe 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). audi
Inputs: audio_base64, audio_format, include_timestamps
transcribe_audio_proTranscribe audio with Whisper Large V3 Turbo — multilingual STT. Supports 99 languages with automatic language detection, word-level timestamps, per-word confidence scores, and optional speaker diarization (identifies who spoke each word).
Inputs: audio_base64, language, diarize

Add Speech AI - Pronunciation, STT & TTS to your AI client

Every block below points at https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http speech-ai-pronunciation-stt-tts https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "speech-ai-pronunciation-stt-tts": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "speech-ai-pronunciation-stt-tts": {
      "url": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "speech-ai-pronunciation-stt-tts": {
      "type": "http",
      "url": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "speech-ai-pronunciation-stt-tts": {
      "url": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "speech-ai-pronunciation-stt-tts": {
      "serverUrl": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "speech-ai-pronunciation-stt-tts": {
      "url": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: Speech AI - Pronunciation, STT & TTS
version: 0.0.1
schema: v1
mcpServers:
  - name: Speech AI - Pronunciation, STT & TTS
    type: streamable-http
    url: https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "speech-ai-pronunciation-stt-tts": {
      "httpUrl": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "speech-ai-pronunciation-stt-tts": {
      "type": "http",
      "url": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "speech-ai-pronunciation-stt-tts": {
      "url": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fpronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io%2Fmcp&type=streamable_http&id=speech-ai-pronunciation-stt-tts&name=Speech%20AI%20-%20Pronunciation%2C%20STT%20%26%20TTS

Is Speech AI - Pronunciation, STT & TTS up right now?

It answered our last check on 18 October 2026 in 319 ms. Over 10 checks since 5 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

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Questions about Speech AI - Pronunciation, STT & TTS

How many tools does Speech AI - Pronunciation, STT & TTS have?

10, as returned by the server's own tools/list on 31 August 2026: assess_pronunciation, check_pronunciation_service, check_stt_service, check_tts_service, check_whisper_service, get_phoneme_inventory, list_tts_voices, synthesize_speech, and 2 more.

Is Speech AI - Pronunciation, STT & TTS down?

It answered our last check on 18 October 2026 in 319 ms. Over 10 checks since 5 September 2026 it answered 6.

How do I add Speech AI - Pronunciation, STT & TTS to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Speech AI - Pronunciation, STT & TTS need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: io.github.fasuizu-br. Endpoint host: pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io. ARD identifier: urn:air:io.github.fasuizu-br:mcp:speech-ai. First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.