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aistatusdashboard

io.github.aistatusdashboard/aistatusdashboard

Read-only MCP server for AIStatusDashboard status, incidents, metrics, and fallback recommendations.

Documentation

AI Status Dashboard

MCP Registry OpenAPI Datasets

A real-time status dashboard for AI service providers (OpenAI, Anthropic, Google Gemini, etc.).

Features

  • Real-time Status Monitoring: Active checks via StatusService.
  • Historical Data: Firestore-backed history and incident logging.
  • Analytics: Dashboard for uptime, response times, and costs.
  • Notifications: Email alerts via SMTP (Nodemailer) and Webhooks.
  • Stack: Next.js (App Router), Tailwind CSS, Firebase Firestore.

Getting Started

Prerequisites

  • Node.js 18+
  • Firebase Project (Firestore enabled)

Installation

  1. Clone the repository
  2. Install dependencies:
    npm install
    
  3. Copy .env.example to .env.local and configure your Firebase credentials.
    cp .env.example .env.local
    

Running Locally

npm run dev

Quick links

Deployment (Firebase App Hosting)

  1. Configure production environment variables in apphosting.yaml.
  2. Store secrets in Secret Manager and grant App Hosting access.
  3. Deploy:
    firebase deploy --only apphosting --project ai-status-dashboard
    

Testing

  • Unit Tests: npm run test:unit
  • E2E Tests: npm run test:e2e

Architecture

  • App Router: APIs located in app/api.
  • Services: Business logic in lib/services.
  • Database: Firestore (collections: status_history, emailSubscriptions, emailQueue, analytics_events, webhooks, comments).
  • Cron:
    • /api/cron/status runs a monitoring cycle and persists status changes.
    • /api/cron/notifications processes the email queue (set CRON_SECRET / APP_CRON_SECRET in prod; or explicitly set APP_ALLOW_OPEN_CRON=true).
  • Webhook registration:
    • /api/webhooks accepts new webhook registrations. Set WEBHOOK_SECRET / APP_WEBHOOK_SECRET in prod (or explicitly set APP_ALLOW_PUBLIC_WEBHOOKS=true).

License

MIT