📱 Sinch MCP GPT SMS Server
An AI-native SMS assistant powered by GPT and MessageMedia — now with a live SMS report dashboard!
✅ Features
- Send and receive SMS via GPT
- View full SMS conversation history
- Auto-reply via GPT using webhook
- Contextual memory per phone number
- MCP-compliant with
/metaand/function-schema - LangChain agent integration
- 📊 Live SMS Report Dashboard (NEW!)
📊 Live Dashboard Preview
Below is a screenshot of the embedded high bar chart showing SMS volume:
🧠 Architecture Overview
User ↔ chat.html
↕
GPT Chat Server (OpenAI-router.js)
↕ (tool calls)
MCP Server (index.js)
↕
MessageMedia SMS API
index.js: Core MCP server, webhook processor,/context+/send+/reportendpointsOpenai-router.js: ChatGPT proxy handling tool calls via OpenAI Functionschat.html: Interactive frontend for messaging and toolssms_report_live_dashboard.html: Live chart using/report
🛠️ How to Run
npm install
OPENAI_API_KEY=your_key node start-all.js
- Access Chat UI: http://localhost:3000/chat.html
- Access Report Dashboard: http://localhost:3000/sms_report_live_dashboard.html
📂 Folder Structure
.
├── index.js # MCP Server
├── Openai-router.js # GPT Chat Interface
├── webhook-log.json # Legacy logs (if not using MessageMedia)
├── chat.html # GPT chat client
├── sms_report_live_dashboard.html # Dashboard with Chart.js
├── langchain_mcp_agent.py # LangChain integration script
├── .env # Environment variables
├── public/
│ └── sms_report_preview.png # Chart screenshot
📦 Tools
-
get_sms_context -
send_sms -
show_sms_report(NEW)
📍 Roadmap
- 🔄 Auto-classification of replies
- 📈 Sentiment + urgency scoring
- 🤖 Unified Copilot with webhook/CLI/chat
📊 SMS Report Chart
A new feature has been added to display a live dashboard of SMS volume by day.
You can now ask in the chat.html interface:
"Show me my report history of +61412345678"
The assistant will respond with an embedded report like this:
