UptimeBolt MCP Server

平台与服务

by uptimebolt

AI-powered infrastructure monitoring — query monitor health, incidents, AI predictions, root cause analysis, deploy safety checks, and executive summaries via MCP.

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Tools (10)

get_service_status

Get the current health status of a service or all services. Returns health score, monitor status, and active incidents.

get_predictions

Get active AI predictions for monitors or services. Shows predicted problems with confidence levels.

get_incidents

Get incidents with optional filters. Includes root cause analysis if available.

get_monitor_health

Get detailed health information for a specific monitor including response time, uptime, and active predictions.

get_deployments

Get recent deployments and their correlation with incidents. Shows which deploys potentially caused issues.

run_root_cause_analysis

Run an AI-powered root cause analysis for an incident or service. Analyzes dependencies, cascading failures, and deployment correlations.

is_safe_to_deploy

Check if it's safe to deploy right now based on current service health, active predictions, and recent incidents. Useful for CI/CD pipeline integration.

get_executive_summary

Get an executive summary of infrastructure health for a time period. Ideal for daily standups, weekly reports, or status updates.

get_monitors

List all monitors with optional filtering by status or type. Returns name, URL, operational status, response time, and uptime for each monitor.

get_monitor_metrics

Get detailed metrics summary for a specific monitor including response time stats, uptime percentage, and error breakdown.

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