Speech AI Pronunciation, STT & TTS
Connect pronunciation scoring, speech-to-text, and text-to-speech into a language-learning or voice feature while coding with an MCP agent.
Overview
Speech AI is a MCP server for the Build phase that provides pronunciation scoring, speech-to-text, and text-to-speech over streamable HTTP for agent-driven language apps.
What is this MCP server?
- Remote streamable-http MCP for pronunciation, STT, and TTS (v2.3.0)
- Pronunciation scoring aimed at language-learning feedback loops
- Speech-to-text and text-to-speech in one Brainiall-hosted surface
- Examples repository fasuizu-br/speech-ai-examples on GitHub
- No local npm stdio package—HTTP remote only in manifest
- Manifest version 2.3.0
- Three modality areas: pronunciation scoring, speech-to-text, text-to-speech
- One streamable-http remote on Azure API Management
What problem does it solve?
Building pronunciation and voice features usually means juggling separate STT, TTS, and scoring vendors while your coding agent lacks a unified speech tool.
Who is it for?
Solo builders shipping edtech or language-practice prototypes with Claude Code, Cursor, or Codex and hosted speech APIs.
Skip if: Offline-only apps, real-time telephony at carrier scale, or teams that cannot send audio to a cloud endpoint.
What do I get? / Deliverables
After registration, your agent can prototype listen-and-repeat flows and voice UI using one remote MCP instead of ad-hoc API docs per service.
- Agent-accessible pronunciation, STT, and TTS tools
- Faster iteration on voice UX in app code
- Single remote endpoint documented for team MCP configs
Recommended MCP Servers
Journey fit
Speech AI lands on Build because you integrate audio pipelines while implementing product features, not while doing initial market research. Integrations covers hosted speech APIs wired through MCP to your agent workflow.
How it compares
Speech API MCP bundle, not a lesson-planning skill or a native mobile recording framework.
Common Questions / FAQ
Who is Speech AI for?
Builders creating language-learning or voice-interaction products who want pronunciation, STT, and TTS available to their MCP-enabled coding agent.
When should I use Speech AI?
Use it in Build when you implement speaking exercises, dictation, or read-aloud features and need the agent to call speech services while writing integration code.
How do I add Speech AI to my agent?
Configure the streamable-http remote https://apim-ai-apis.azure-api.net/mcp/pronunciation/mcp in your MCP settings and test with a short audio or text sample per client instructions.