cce8d5c7a3Add stdio transport configuration snippets near the top of each example README to help users quickly set up the servers in their MCP clients. - Node.js examples use npx with the published npm packages - Python qr-server uses uv with local path - Removed Claude Desktop-specific references from qr-server
112 lines
2.8 KiB
Markdown
112 lines
2.8 KiB
Markdown
# Transcript Server
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An MCP App Server for live speech transcription using the Web Speech API.
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## MCP Client Configuration
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Add to your MCP client configuration (stdio transport):
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```json
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{
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"mcpServers": {
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"transcript": {
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"command": "npx",
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"args": [
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"-y",
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"--silent",
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"--registry=https://registry.npmjs.org/",
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"@modelcontextprotocol/server-transcript",
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"--stdio"
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]
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}
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}
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}
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```
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## Features
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- **Live Transcription**: Real-time speech-to-text using browser's Web Speech API
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- **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
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- **Audio Level Indicator**: Visual feedback showing microphone input levels
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- **Send to Host**: Button to send completed transcriptions as a `ui/message` to the MCP host
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- **Start/Stop Control**: Toggle listening on and off
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- **Clear Transcript**: Reset the transcript area
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## Setup
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### Prerequisites
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- Node.js 18+
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- Chrome, Edge, or Safari (Web Speech API support)
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### Installation
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```bash
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npm install
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```
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### Running
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```bash
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# Development mode (with hot reload)
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npm run dev
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# Production build and serve
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npm run start
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```
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## Usage
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The server exposes a single tool:
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### `transcribe`
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Opens a live speech transcription interface.
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**Parameters:** None
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**Example:**
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```json
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{
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"name": "transcribe",
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"arguments": {}
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}
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```
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## How It Works
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1. Click **Start** to begin listening
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2. Speak into your microphone
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3. Watch your speech appear as text in real-time (interim text is streamed to model context via `ui/update-model-context`)
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4. Click **Send** to send the transcript as a `ui/message` to the host (clears the model context)
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5. Click **Clear** to reset the transcript
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## Architecture
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```
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transcript-server/
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├── server.ts # MCP server with transcribe tool
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├── server-utils.ts # HTTP transport utilities
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├── mcp-app.html # Transcript UI entry point
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├── src/
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│ ├── mcp-app.ts # App logic, Web Speech API integration
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│ ├── mcp-app.css # Transcript UI styles
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│ └── global.css # Base styles
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└── dist/ # Built output (single HTML file)
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```
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## Notes
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- **Microphone Permission**: Requires `allow="microphone"` on the sandbox iframe (configured via `permissions: { microphone: {} }` in the resource `_meta.ui`)
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- **Browser Support**: Web Speech API is well-supported in Chrome/Edge, with Safari support. Firefox has limited support.
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- **Continuous Mode**: Recognition automatically restarts when it ends, for seamless transcription
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## Future Enhancements
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- Language selection dropdown
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- Whisper-based offline transcription (see TRANSCRIPTION.md)
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- Export transcript to file
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- Timestamps toggle
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