AIStatusDashboard MCP

Name: AIStatusDashboard MCP
Author: aistatusdashboard

aistatusdashboard/aistatusdashboard

Updated June 2, 2026
aistatusdashboard/aistatusdashboard

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

About

Read-only MCP server for AIStatusDashboard status, incidents, metrics, and fallback recommendations. Exposes 7 MCP tools including io.github.aistatusdashboard/aistatusdashboard. Covers setup, configuration, and when-to-use guidance from upstream documentation for AIStatusDashboard. Install via Claude Desktop, Cursor, or any MCP-compatible client using the upstream server manifest.

**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.

AIStatusDashboard MCP by the numbers

Exposes 7 verified tools (MCP introspection)
Data as of Aug 10, 2026 (Skillselion catalog sync)

terminal

claude mcp add --transport http aistatusdashboard https://aistatusdashboard.com/mcp

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Transport	HTTP
Auth	None
Tools	7
Last updated	June 2, 2026
Repository	aistatusdashboard/aistatusdashboard ↗

How do I connect AIStatusDashboard to my MCP client?

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

Who is it for?

Teams wiring AIStatusDashboard into Claude, Cursor, or custom agents for monitoring.

Skip if: Skip when you need a non-MCP SDK or hosted API without stdio/SSE transport.

What you get

Working AIStatusDashboard MCP server with verified tool registration and client config.

Agent-readable status, incident, and metrics snapshots from AIStatusDashboard
Fallback recommendations referenced during outage debugging

By the numbers

[object Object]

At a glance

AIStatusDashboard capabilities & compatibility

Capabilities: aistatusdashboard mcp tool registration · aistatusdashboard client configuration · aistatusdashboard agent workflow integration
Use cases: orchestration
Runs: Remote server

From the docs

What AIStatusDashboard says it does

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

README.md

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

README.md

Tools 7

Public tool metadata - what this server can do for an agent.

status.get_summary6 params

Summarize provider status across official and observed signals.

providerstring
lensstring
surfacestring
regionstring
modelstring
window_secondsnumber

status.get_health_matrix3 params

Return health matrix tiles for provider models/endpoints/regions.

providerstringrequired
lensstring
window_secondsnumber

incidents.search10 params

Search incidents with filters and pagination cursor.

providerstring
severitystring
active_onlyboolean
sincestring
untilstring
regionstring
modelstring
qstring
cursorstring
limitnumber

incidents.get1 param

Fetch a single incident by stable ID.

incident_idstringrequired

metrics.query8 params

Query metric time series over a window.

metricstringrequired
providerstring
surfacestring
modelstring
regionstring
sincestring
untilstring
granularity_secondsnumber

recommendations.get_fallback_plan14 params

Generate a fallback plan for a model/region/endpoint.

providerstring
modelstringrequired
endpointstringrequired
regionstringrequired
tierstring
streamingboolean
signalstring
latency_p50_msnumber
latency_p95_msnumber
latency_p99_msnumber
http_5xx_ratenumber
http_429_ratenumber
tokens_per_secnumber
stream_disconnect_ratenumber

policy.generate7 params

Generate routing policy JSON for a model/region/endpoint.

providerstring
modelstringrequired
endpointstringrequired
regionstringrequired
tierstring
streamingboolean
objectivestring

README.md

AI Status Dashboard

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

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

Running Locally

npm run dev

Quick links

OpenAPI: https://aistatusdashboard.com/openapi.json
MCP server: https://aistatusdashboard.com/mcp
MCP Quickstart: https://aistatusdashboard.com/docs/agent/mcp-quickstart
Discoverability audit: https://aistatusdashboard.com/docs/discoverability-audit.md
Datasets: https://aistatusdashboard.com/datasets
Citing: https://aistatusdashboard.com/docs/citations.md

Deployment (Firebase App Hosting)

Configure production environment variables in apphosting.yaml.
Store secrets in Secret Manager and grant App Hosting access.

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).