| Filename | Latest commit message | Latest commit date |
|---|---|---|
* fix(e2e): add masks for dynamic content and increase timeouts for slow servers - Add HOST_MASKS for Tool Input/Result panels with dynamic timestamps - Add say-server to SLOW_SERVERS (10s) for TTS model download - Add say-server to EXTRA_WAIT_MS (30s) in generate-grid-screenshots * feat: add update-lock:docker script to regenerate lockfile with public registry * pin package versions for dev compatibility * feat(basic-host): add ?theme=hide query param to hide theme toggle in screenshots - Add hideThemeToggle param to getQueryParams() - Conditionally render ThemeToggle based on ?theme=hide - Update e2e tests to use ?theme=hide for consistent screenshots * update screenshots * update screenshots * fix(husky): load Node.js environment for GUI apps like GitHub Desktop * fix(e2e): increase map-server wait time to 15s for tile loading * fix(e2e): increase waitForAppLoad timeout to 30s for nested iframe loading * ci: add workflow to update e2e snapshots * ci: trigger snapshot update on push to this branch * chore: update e2e snapshots [skip ci] * ci: trigger CI after snapshot update * style: fix prettier formatting in update-snapshots workflow * fix: pin seroval, seroval-plugins, and solid-js for artifactory compatibility --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> |
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| .. | ||
| src | ||
| grid-cell.png | ||
| main.ts | ||
| mcp-app.html | ||
| package.json | ||
| README.md | ||
| screenshot.png | ||
| server.ts | ||
| tsconfig.json | ||
| tsconfig.server.json | ||
| vite.config.ts | ||
Transcript Server
An MCP App Server for live speech transcription using the Web Speech API.
MCP Client Configuration
Add to your MCP client configuration (stdio transport):
{
"mcpServers": {
"transcript": {
"command": "npx",
"args": [
"-y",
"--silent",
"--registry=https://registry.npmjs.org/",
"@modelcontextprotocol/server-transcript",
"--stdio"
]
}
}
}
Features
- Live Transcription: Real-time speech-to-text using browser's Web Speech API
- Transitional Model Context: Streams interim transcriptions to the model via
ui/update-model-context, allowing the model to see what the user is saying as they speak - Audio Level Indicator: Visual feedback showing microphone input levels
- Send to Host: Button to send completed transcriptions as a
ui/messageto the MCP host - Start/Stop Control: Toggle listening on and off
- Clear Transcript: Reset the transcript area
Setup
Prerequisites
- Node.js 18+
- Chrome, Edge, or Safari (Web Speech API support)
Installation
npm install
Running
# Development mode (with hot reload)
npm run dev
# Production build and serve
npm run start
Usage
The server exposes a single tool:
transcribe
Opens a live speech transcription interface.
Parameters: None
Example:
{
"name": "transcribe",
"arguments": {}
}
How It Works
- Click Start to begin listening
- Speak into your microphone
- Watch your speech appear as text in real-time (interim text is streamed to model context via
ui/update-model-context) - Click Send to send the transcript as a
ui/messageto the host (clears the model context) - Click Clear to reset the transcript
Architecture
transcript-server/
├── server.ts # MCP server with transcribe tool
├── server-utils.ts # HTTP transport utilities
├── mcp-app.html # Transcript UI entry point
├── src/
│ ├── mcp-app.ts # App logic, Web Speech API integration
│ ├── mcp-app.css # Transcript UI styles
│ └── global.css # Base styles
└── dist/ # Built output (single HTML file)
Notes
- Microphone Permission: Requires
allow="microphone"on the sandbox iframe (configured viapermissions: { microphone: {} }in the resource_meta.ui) - Browser Support: Web Speech API is well-supported in Chrome/Edge, with Safari support. Firefox has limited support.
- Continuous Mode: Recognition automatically restarts when it ends, for seamless transcription
Future Enhancements
- Language selection dropdown
- Whisper-based offline transcription (see TRANSCRIPTION.md)
- Export transcript to file
- Timestamps toggle
