Monitors API endpoint health by checking availability, measuring response times, and providing detailed status reports with error handling and timeout protection for the localhost:8080/api/ticket endpoint.
Monitor the real-time status of 200+ popular APIs and services. Check if services like GitHub, Stripe, AWS, and Slack are experiencing outages or degraded performance directly from your AI assistant.
Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.
MCP server for managing Ubuntu servers over SSH. Enables Claude to check system health, inspect services, tail logs, review updates, and run commands remotely.
MCP server for managing a Nitrado-hosted Project Zomboid server. It lets you check status, edit sandbox settings, manage mods, and tail logs through natural language.
An MCP server that exposes GPU-accelerated anomaly detection to AI assistants via the Model Context Protocol. Provides two MCP tools: waveguard_scan (send training + test data in one call, returns per-sample anomaly scores and top explanatory features) and waveguard_health (check API and GPU status). Works on time series, JSON, numbers, text, and images — fully stateless.
Connects MCP-capable AI clients to a monitoring API to inspect cron and recurring-task checks, with opt-in mutations for pings, integrations, and check changes.
Enterprise AI operator evaluation MCP server. 27 tools
(22 read + 5 write) for measuring, benchmarking, diagnosing, and interv
ening on how human operators use AI tools across 5 canonical metrics.
Enables Claude to interact with Karma Alert dashboard to monitor and analyze Kubernetes alerts. Provides tools to check alert status, filter by cluster/severity, get detailed alert information, and analyze alert statistics and trends.
MCP server for Aussie Broadband NBN diagnostics, enabling AI assistants to run connection tests, check outages, speed tests, and fault tickets via the MyAussie API.
Provides tools to query and calculate AWS EBS performance metrics from CloudWatch, including IOPS, throughput, and latency. It also enables users to manage snapshots and retrieve advanced diagnostic data like I/O utilization and burst balance.
An MCP server that monitors and provides analytics on weekly report submissions in a Google Sheet, allowing users to check missing submissions, view statistics, and track individual reporting status.
Aggregates status of multiple SaaS providers into a single MCP server, enabling AI agents to check service health and incidents via tools like list_services, get_status, and check_all.
Enables AI assistants to interact with Uptime Agent monitoring system to check uptime status, manage incidents, create new monitors, and analyze downtime through natural conversation.