telemetry-solution-mcp

ItsAThneed/telemetry-solution-mcp

3.1

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The Model Context Protocol (MCP) server is a component of the Telemetry Solution MCP, designed to integrate AI-powered analytics into modern applications.

Telemetry Solution MCP

A comprehensive, open-source telemetry collection and analytics platform designed for modern applications. Track user interactions, monitor application health, and gain insights into your app's usage patterns with integrated Model Context Protocol (MCP) support for AI-powered analytics.

Features

  • 🔒 Secure by Design - OAuth authentication, encrypted data transit, SQL injection protection
  • 📊 Rich Analytics - Session tracking, user behavior analysis, error monitoring
  • 🤖 LLM Integration - MCP server for AI-powered analytics and insights
  • 🚀 Easy Deployment - CloudFlare + Neon PostgreSQL with Docker for local development
  • 📱 Flexible API - RESTful endpoints for any application platform
  • 🎯 Identity Tracking - Hardware-based identity with optional user association

Quick Start

Prerequisites

  • Node.js 18+
  • Docker and Docker Compose (for local development)
  • Git

Installation

  1. Clone the repository

    git clone https://github.com/your-username/telemetry-solution-mcp.git
    cd telemetry-solution-mcp
    
  2. Install dependencies

    npm install
    
  3. Start local development environment

    npm run dev:setup    # Sets up local database with Docker
    npm run dev:seed     # Generates sample data
    npm run dev          # Starts all services
    
  4. Access the dashboard

Architecture

The solution consists of four main components:

  • Database - PostgreSQL datastore for telemetry data
  • API Server - Express.js API for telemetry ingestion and retrieval
  • Data Viewer - React dashboard for analytics and visualization
  • MCP Server - Model Context Protocol server for LLM integration

Basic Usage

Logging Telemetry from Your App

// Start a telemetry session
const session = await fetch('http://your-api/v1/sessions/start', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    identity: 'unique-hardware-signature',
    app_name: 'MyApp',
    app_version: '1.0.0',
    user_id: 'optional-user-id'
  })
});

// Log an action
await fetch('http://your-api/v1/actions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    iau_id: session.iau_id,
    session_id: session.session_id,
    category: 'Button Press',
    subcategory: 'Login Button',
    data_type: 'text',
    data_value: 'success'
  })
});

Documentation

  • - Complete API documentation
  • - Production deployment instructions
  • - Data model and relationships

Development

Local Development Setup

  1. Environment Configuration

    cp .env.example .env
    # Edit .env with your local configuration
    
  2. Database Setup

    npm run db:setup     # Initialize database
    npm run db:migrate   # Run migrations
    npm run db:seed      # Generate sample data
    
  3. Run Tests

    npm test            # Run all tests
    npm run test:unit   # Unit tests only
    npm run test:api    # API integration tests
    

Contributing

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/new-feature
  3. Make your changes and add tests
  4. Ensure all tests pass: npm test
  5. Commit your changes: git commit -am 'Add new feature'
  6. Push to the branch: git push origin feature/new-feature
  7. Submit a pull request

Deployment

Production Deployment (CloudFlare + Neon)

See our for detailed instructions on:

  • Setting up Neon PostgreSQL
  • Deploying to CloudFlare Pages/Workers
  • Configuring OAuth authentication
  • Environment variable setup

Docker Deployment

docker-compose -f docker-compose.prod.yml up -d

Security

This project implements several security best practices:

  • API key authentication for all endpoints
  • Parameterized queries to prevent SQL injection
  • Input validation and sanitization
  • HTTPS enforcement for data in transit
  • OAuth 2.0 for user authentication

License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License - see the file for details.

Commercial Use: This software is available for personal, educational, and research use only. For commercial licensing options, please contact [your-email].

Support

Roadmap

  • Real-time analytics dashboard
  • Mobile SDK support
  • Advanced visualization components
  • Data export functionality
  • Custom alert system

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