Make real
One MCP call to ship exam-grade assessment
Scores, phoneme diagnostics, personalized practice — one call. 95%+ expert consistency, same engine as China's college-entrance oral exam.






User speaks → MCP calls Chivox → LLM crafts feedback. Click for the live demo.
Are you here to evaluate, or to integrate?
Managers see value. Devs see how to ship.
30-min call to align scope; plan & quote within 1 week. Here are the 4 things worth putting in your proposal:
Procurement-ready
Must-haveVendor credibility concern?→Exam-grade speech assessment engine · trusted by 1,000+ education projects · 95%+ expert match.
Score + Teaching ready
No ML teamAfraid of scores only, no loop?→Prompt templates included. Score → Diagnose → Correct → Drill, full loop.
1-week legacy upgrade
Zero rewriteWorried about big rewrites?→One MCP config line. Cursor / Coze / Dify / Feishu / DingTalk compatible.
Compliance-ready for edu
ComplianceEdu / gov-grade data residency?→ISO 27001 certified. Full HTTPS/TLS encryption, audio destroyed immediately after assessment.
MCP (recommended) or Function Calling. Real 6-step production pipeline:
{ "chivox": { "command": "npx", "args": ["-y", "@chivox/mcp"], "env": { "CHIVOX_KEY": "sk-..." } }}
Understand Chivox MCP in 30s
No signup, no payment — record, and see MCP return scores + phoneme diagnosis + LLM-generated personalized practice.
How one audio turns into smart feedback
Take an "AI IELTS speaking coach" as an example. Developers configure once, users get automatic scoring + feedback every time.
The LLM picks and calls tools via MCP — no routing or assembly glue on your side.
// Frontend → LLM context · Two audio modes supported
user:
Please listen to my self-intro,
where do I have pronunciation issues?
// Mode A · Pre-recorded audio (mp3/wav · URL or base64)
audio:
https://cdn.app.com/u123/intro.mp3
// ─── OR ───────────────────────────────────────────
// Mode B · Real-time streaming (browser MediaRecorder / mini-program / app)
stream:
audio/pcm · 16k · 16bit · mono
→ 200ms chunks, streaming results back
refText:
"Hello, my name is Lucy..."Give AI real ears, or plug into products and backends
LLMs gain ears via MCP; class chats, custom apps / backends, and global products share the same oral-assessment stack — pick MCP or plain HTTP as needed.
Turn your LLM into a speaking coach
"Practice with me for 5 min" — agent auto-generates prompts, listens, scores, corrects. Conversation is evaluation.
- Conversational practice, seamless eval
- Adaptive difficulty
- Pinpoint phoneme / stress / pause
Give storybooks, pens & robots real "ears"
Kid reads → device calls MCP → LLM gives fun feedback → parents get reports.
- Phonics / word / sentence eval
- Encouraging prompts and gentle correction for kids
- Hybrid device + cloud deploy
One config, any AI tool gains speech eval
Cursor / Claude / Coze / Dify — any MCP client, plug and play.
- Dual protocol: stdio / HTTP
- 16 tools out of the box
- Native LLM tool calling
Not slide-deck stats — real production projects
Every project below is publicly verifiable. Want yours here too? We reply within 1 business day.
