Myndy Platform

Privacy-first personal intelligence platform combining cloud API for mobile data collection, encrypted single-user AI backend for private analysis, and MCP integration for seamless AI connectivity.

Platform Architecture

Privacy-first personal intelligence platform combining cloud API, encrypted local backend, and AI connectivity

🚀

Myndy API Platform

Production-ready health and productivity data platform with comprehensive endpoints and mobile integration.

  • 142 endpoints across 12 categories
  • OAuth 2.0 authentication
  • Health data batch processing with deduplication
  • iOS location tracking integration
  • SMS processing with TextBee webhook
  • Todoist task management integration
  • Barcode scanning & product lookup
  • PostgreSQL storage with optimized queries
API Reference
🧠

Myndy-AI Personal Backend

Single-user, encrypted personal AI backend for private data management and intelligent assistance.

  • Privacy-first single-user architecture
  • VeraCrypt encrypted storage for all personal data
  • 85+ specialized tools across 24 categories
  • Personal AI agent with persistent memory
  • Vector search with Qdrant for semantic retrieval
  • Health, finance, calendar, email analysis
  • Ollama local models for complete privacy
  • FastAPI backend with REST endpoints
Learn More
🔌

MCP Servers

Model Context Protocol servers for AI integration with standardized tool interfaces.

  • Todoist MCP server for task management
  • Standardized tool schemas and protocols
  • Compatible with Claude Desktop and other MCP clients
  • Real-time data synchronization
  • Extensible architecture for custom integrations
  • OAuth credential management
  • JSON-RPC 2.0 communication protocol
Learn More
📱

iOS Mobile App

Native iOS application for health tracking, location monitoring, and data collection.

  • HealthKit data integration
  • Background location tracking
  • OAuth 2.0 authentication with PKCE
  • Batch upload optimization
  • Offline data persistence
  • Real-time status updates
  • Secure token management
Integration Guide

Comprehensive API Platform

Production-ready endpoints with automatic documentation and OpenAPI specification

142
API Endpoints
85+
AI Tools
🔒
Encrypted Storage
1
User = Privacy
MCP
AI Integration
iOS
Native App
View All Endpoints API Documentation

Integration Examples

Connect with the Myndy platform using multiple programming languages

# Python SDK Example - Health Data Integration
import requests
from datetime import datetime

class MyndyAPI:
    def __init__(self, access_token):
        self.base_url = "http://localhost:5000"
        self.headers = {
            'Authorization': f'Bearer {access_token}',
            'Content-Type': 'application/json'
        }

    def upload_health_data(self, data_type, value, source="manual"):
        payload = {
            'type': data_type,
            'value': value,
            'source': source,
            'timestamp': datetime.now().isoformat()
        }

        response = requests.post(
            f"{self.base_url}/api/v1/healthdata",
            headers=self.headers,
            json=payload
        )
        return response.json()

# Usage
api = MyndyAPI('your_access_token')
result = api.upload_health_data('heart_rate', 75, 'apple_watch')

Platform Access

Multiple ways to interact with the Myndy AI ecosystem

🔐

User Account

Access your personal dashboard, manage health data, and configure AI settings.

Login Register
📊

API Documentation

Complete API reference with 142 endpoints, authentication guides, and integration examples.

API Reference Full Docs
🔌

MCP Integration

Connect AI assistants through Model Context Protocol servers for seamless tool access.

MCP Docs