Server data from the Official MCP Registry
Pronunciation scoring, speech-to-text, and text-to-speech for language learning
Pronunciation scoring, speech-to-text, and text-to-speech for language learning
Remote endpoints: streamable-http: https://apim-ai-apis.azure-api.net/mcp/pronunciation/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-fasuizu-br-speech-ai": {
"url": "https://pronunciation-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}From the project's GitHub README.
Production AI APIs for speech, text, image, and LLM inference. Available as REST endpoints and MCP servers for AI agents.
Base URL: https://apim-ai-apis.azure-api.net
Full API reference for LLMs: llms-full.txt | llms.txt
| Product | Endpoints | Latency | Notes |
|---|---|---|---|
| Pronunciation Assessment | /v1/pronunciation/assess/base64 | <500ms | 17MB ONNX, per-phoneme scoring (39 ARPAbet) |
| Text-to-Speech | /v1/tts/synthesize | <1s | 12 voices (American + British), 24kHz WAV |
| Speech-to-Text | /v1/stt/transcribe/base64 | <500ms | Compact 17MB model, English, word timestamps |
| Whisper Pro | /v1/whisper/transcribe/base64 | <3s | 99 languages, speaker diarization |
| NLP Suite | /v1/nlp/{toxicity,sentiment,entities,pii,language} | <50ms | CPU-only, ONNX, 5 endpoints |
| Image Processing | /v1/image/{remove-background,upscale,restore-face}/base64 | <3s | GPU (A10), BiRefNet + ESRGAN + GFPGAN |
| LLM Gateway | /v1/chat/completions | varies | 113+ models, OpenAI-compatible, streaming |
Include ONE of these headers in every request:
Ocp-Apim-Subscription-Key: YOUR_KEY
Authorization: Bearer YOUR_KEY
api-key: YOUR_KEY
Get API keys at the portal (GitHub sign-in, purchase credits, create key).
from openai import OpenAI
client = OpenAI(
base_url="https://apim-ai-apis.azure-api.net/v1",
api_key="YOUR_KEY"
)
response = client.chat.completions.create(
model="claude-sonnet",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)
import requests, base64
audio_b64 = base64.b64encode(open("audio.wav", "rb").read()).decode()
r = requests.post(
"https://apim-ai-apis.azure-api.net/v1/pronunciation/assess/base64",
headers={"Ocp-Apim-Subscription-Key": "YOUR_KEY"},
json={"audio": audio_b64, "text": "Hello world", "format": "wav"}
)
print(r.json()["overallScore"]) # 0-100
import requests
headers = {"Ocp-Apim-Subscription-Key": "YOUR_KEY"}
base = "https://apim-ai-apis.azure-api.net/v1/nlp"
# Sentiment
r = requests.post(f"{base}/sentiment", headers=headers, json={"text": "I love this!"})
print(r.json()) # {"label": "positive", "score": 0.9987}
# PII detection with redaction
r = requests.post(f"{base}/pii", headers=headers, json={"text": "Email john@acme.com", "redact": True})
print(r.json()["redacted_text"]) # "Email [EMAIL]"
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://apim-ai-apis.azure-api.net/v1",
apiKey: "YOUR_KEY"
});
const res = await client.chat.completions.create({
model: "claude-sonnet",
messages: [{ role: "user", content: "Hello!" }]
});
console.log(res.choices[0].message.content);
curl -X POST https://apim-ai-apis.azure-api.net/v1/image/remove-background/base64 \
-H "Ocp-Apim-Subscription-Key: YOUR_KEY" \
-H "Content-Type: application/json" \
-d "{\"image\": \"$(base64 -i photo.jpg)\"}"
| Model | Alias | Price ($/MTok in/out) |
|---|---|---|
| Claude Opus 4.6 | claude-opus | $5 / $25 |
| Claude Sonnet 4.6 | claude-sonnet | $3 / $15 |
| Claude Haiku 4.5 | claude-haiku | $1 / $5 |
| DeepSeek R1 | deepseek-r1 | $1.35 / $5.40 |
| DeepSeek V3 | deepseek-v3 | $0.27 / $1.10 |
| Llama 3.3 70B | llama-3.3-70b | $0.72 / $0.72 |
| Amazon Nova Pro | nova-pro | $0.80 / $3.20 |
| Amazon Nova Micro | nova-micro | $0.035 / $0.14 |
| Mistral Large 3 | mistral-large-3 | $2 / $6 |
| Qwen3 32B | qwen3-32b | $0.35 / $0.35 |
Full list: GET /v1/models (113+ models from 17 providers).
Supports: streaming SSE, tool calling, structured output (json_object/json_schema), extended thinking.
Works with: OpenAI SDK, LiteLLM, LangChain, Cline, Cursor, Aider, Continue, SillyTavern, Open WebUI.
3 MCP servers with 20 tools total. Streamable HTTP transport.
| Server | URL | Tools |
|---|---|---|
| Speech AI | https://apim-ai-apis.azure-api.net/mcp/pronunciation/mcp | 10 tools + 8 resources + 3 prompts |
| NLP Tools | https://apim-ai-apis.azure-api.net/mcp/nlp/mcp | 6 tools + 3 resources + 3 prompts |
| Image Tools | https://apim-ai-apis.azure-api.net/mcp/image/mcp | 4 tools + 3 resources + 2 prompts |
{
"mcpServers": {
"brainiall-speech": {
"url": "https://apim-ai-apis.azure-api.net/mcp/pronunciation/mcp",
"headers": { "Ocp-Apim-Subscription-Key": "YOUR_KEY" }
},
"brainiall-nlp": {
"url": "https://apim-ai-apis.azure-api.net/mcp/nlp/mcp",
"headers": { "Ocp-Apim-Subscription-Key": "YOUR_KEY" }
},
"brainiall-image": {
"url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp",
"headers": { "Ocp-Apim-Subscription-Key": "YOUR_KEY" }
}
}
}
Also available on: Smithery (score 95/100) | MCPize | Apify ($0.02/call) | MCP Registry
| File | Description |
|---|---|
python/basic_usage.py | Speech APIs — assess, transcribe, synthesize |
python/pronunciation_tutor.py | Interactive pronunciation tutor |
javascript/basic_usage.js | Node.js examples for speech APIs |
curl/examples.sh | curl commands for every endpoint |
mcp/claude-desktop-config.json | MCP config for Claude Desktop |
mcp/cursor-config.json | MCP config for Cursor IDE |
llms-full.txt | Complete API reference for LLM consumption |
| Product | Price | Unit |
|---|---|---|
| Pronunciation | $0.02 | per call |
| TTS | $0.01-0.03 | per 1K chars |
| STT (compact) | $0.01 | per request |
| Whisper Pro | $0.02 | per minute |
| NLP (any) | $0.001-0.002 | per call |
| Image (any) | $0.003-0.005 | per image |
| LLM Gateway | competitive pricing | per MTok |
Credit packages: $5, $10, $25, $50, $100. Portal | Azure Marketplace (search "Brainiall").
MIT — Brainiall
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