What is larryfang sms mcp
๐ฑ Sinch MCP GPT SMS Server
An AI-native SMS assistant powered by GPT and MessageMedia โ now with a live SMS report dashboard!
โ 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
- ๐ Live SMS Report Dashboard (NEW!)
๐ Live Dashboard Preview
Below is a screenshot of the embedded high bar chart showing SMS volume:
!SMS Report Screenshot
๐ง Architecture Overview
User โ chat.html
โ
GPT Chat Server (OpenAI-router.js)
โ (tool calls)
MCP Server (index.js)
โ
MessageMedia SMS API
index.js
: Core MCP server, webhook processor,/context
+/send
+/report
endpointsOpenai-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
๐ ๏ธ 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
๐ Folder Structure
.
โโโ index.js # MCP Server
โโโ Openai-router.js # GPT Chat Interface
โโโ webhook-log.json # Legacy logs (if not using MessageMedia)
โโโ chat.html # GPT chat client
โโโ sms_report_live_dashboard.html # Dashboard with Chart.js
โโโ langchain_mcp_agent.py # LangChain integration script
โโโ .env # Environment variables
โโโ public/
โ โโโ sms_report_preview.png # Chart screenshot
๐ฆ Tools
-
get_sms_context
-
send_sms
-
show_sms_report
(NEW)
๐ Roadmap
- ๐ Auto-classification of replies
- ๐ Sentiment + urgency scoring
- ๐ค Unified Copilot with webhook/CLI/chat
๐ 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:
!SMS Report Chart
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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