aistatusdashboard

@aistatusdashboard/aistatusdashboard

Hosted

0 Stars 3 次浏览 aistatusdashboard 更新于 2026-08-23

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

开发者工具

该服务暂未提供标准配置，请参考 README 手动接入

可用工具（5 个）

该服务在 MCP 协议中暴露的工具，AI 可按需调用

tavily_search 14 个参数需填 1 项 Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数：query

tavily_extract 6 个参数需填 1 项 Extract content from URLs. Returns raw page content in markdown or text format.

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数：urls

tavily_crawl 11 个参数需填 1 项 Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数：url

tavily_map 8 个参数需填 1 项 Map a website's structure. Returns a list of URLs found starting from the base URL.

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数：url

tavily_research 2 个参数需填 1 项 Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数：input

服务介绍

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).

# License

MIT

查看源码项目主页

可用工具 （5 个）