Provides voice synthesis capabilities to generate audio responses using ElevenLabs text-to-speech API for mood-based interactions.
Enables LLM-powered mood classification and natural language processing for analyzing user messages.
Fetches curated playlists based on detected user mood using Spotify's API to provide personalized music recommendations.
Handles inbound and outbound WhatsApp/SMS messages through webhook integration, enabling message-based interactions with mood detection and playlist delivery.
Processes WhatsApp messages to detect user mood and respond with personalized playlists, quotes, and optional voice notes.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
An MCP-style server that reacts to WhatsApp/SMS messages: it classifies the user's mood, fetches a curated Spotify playlist, adds a motivational/funny quote, and can optionally deliver a voice note (ElevenLabs). Includes Twilio webhook for inbound WhatsApp and simple MCP endpoints for tool calls.
Install deps
npm installCopy env template
cp config/env.example .envFill in Spotify client credentials, Twilio (for WhatsApp/SMS), and optional ElevenLabs + OpenAI.
Run dev server
npm run devRelated MCP server: Spotify MCP Server
GET /healthz – health check
GET /mcp/tools – list available tools
POST /mcp/call – invoke a tool: { "name": "run_mood_flow", "input": { "to": "whatsapp:+1...", "text": "I feel stressed", "includeVoice": false } }
POST /webhooks/twilio – Twilio WhatsApp/SMS webhook; echoes back playlist + quote
detect_mood
get_playlist
get_quote
synthesize_voice (if ElevenLabs configured)
send_message
run_mood_flow (end-to-end orchestration)
Voice replies require hosting the MP3 somewhere accessible; the current stub generates audio but does not upload it. Add an object-store upload to send MediaUrl with Twilio.
Mood classification defaults to a keyword heuristic; plug in an LLM if desired.
MCP shape here is HTTP-based for simplicity; can be adapted to an MCP transport.
This server cannot be deployed
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