AIStatusDashboard

AIStatusDashboard

Official
aistatusdashboard

Provides read-only access to status information, incidents, and metrics from various AI service providers with fallback recommendations when services are down.

Read-only access to AI provider status, incidents, metrics, and fallback recommendations.

310 views1Remote

What it does

  • Check AI provider status and uptime
  • Monitor service incidents and outages
  • View performance metrics across providers
  • Get fallback provider recommendations
  • Track historical service reliability

Best for

Developers building AI-powered applicationsDevOps teams monitoring AI service dependenciesApplications needing automatic failover between AI providers
Read-only monitoring interfaceMulti-provider coverage

About AIStatusDashboard

AIStatusDashboard is an official MCP server published by aistatusdashboard that provides AI assistants with tools and capabilities via the Model Context Protocol. AIStatusDashboard — an AI status dashboard providing read-only AI provider status, incidents, metrics, and fallback reco It is categorized under developer tools, analytics data.

How to install

You can install AIStatusDashboard in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

License

AIStatusDashboard is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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

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