AI-Powered MCP Server

# 📱 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 `/meta` and `/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 ```plaintext 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` + `/report` endpoints - `Openai-router.js`: ChatGPT proxy handling tool calls via OpenAI Functions - `chat.html`: Interactive frontend for messaging and tools - `sms_report_live_dashboard.html`: Live chart using `/report` ## 🛠️ How to Run ```bash npm install OPENAI_API_KEY=your_key node start-all.js ``` - Access Chat UI: [http://localhost:3000/chat.html](http://localhost:3000/chat.html) - Access Report Dashboard: [http://localhost:3000/sms_report_live_dashboard.html](http://localhost:3000/sms_report_live_dashboard.html) ## 📂 Folder Structure ```plaintext . ├── 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 - [x] `get_sms_context` - [x] `send_sms` - [x] `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: