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Family Tracker Ecosystem (2026)

A transparent, ethical, and modular location-sharing ecosystem designed for family safety and child protection.

Modules

  1. Android Client: A lightweight, foreground-service-based tracking application that sends GPS data to a central server.
  2. MCP Server: A Model Context Protocol server that provides an AI-driven interface for querying and managing tracking data using natural language.

Key Features

  • Transparent Tracking: Persistent notifications ensure the user always knows their location is being shared.
  • Guided Setup: An intuitive initial flow to help users configure the app correctly.
  • AI-Powered Interface: Talk to your tracking data via LLMs like Claude or Gemini instead of using complex dashboards.
  • Modular Architecture: Separate client and server modules for lean deployment and scalability.

Use Cases

  • Child Safety: Knowing when your child arrives at school or returns home.
  • Family Sharing: Coordinating locations during outings or travel.
  • Elderly Care: Ensuring vulnerable family members are safe and within expected areas.

Quick Start

1. Central Server

You need a tracking server instance (e.g., Traccar).

  • Note the Server URL and your credentials.

2. Android Client

  • Build the APK from the android-client directory.
  • Install it on the family member's device.
  • Follow the guided setup to enter your Server URL and grant permissions.

3. MCP Server & AI Integration

  • Deploy the mcp-server on a Python-capable host.
  • Configure mcp_config.json with your server API details.
  • Connect your preferred LLM to the MCP server.
  • See AI_INTEGRATION.md for example prompts.

Ethical Guidelines

This project is built on the principles of informed consent and transparency.

  • Unauthorized tracking is strictly prohibited and often illegal.
  • The application must never be hidden or its purpose masked.
  • For detailed deployment rules, see DEPLOYMENT.md.

Architecture

See ARCHITECTURE.md for system diagrams and technical details.

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