#uptime

Connect your Uptime Agent monitoring system directly to AI assistants like Claude through the Model Context Protocol (MCP).

The Pulsetic MCP Server connects Pulsetic monitoring with AI agents and MCP-compatible tools, enabling direct access to uptime data, cron monitoring results, incident management workflows, and status page information through the Model Context Protocol (MCP). It allows teams to securely expose operational monitoring data in a structured format, making it easy to build AI-driven automation, monitoring assistants, and intelligent operational workflows without custom middleware. Core Capabilities Uptime Monitoring Access real-time and historical uptime data through AI systems. Query monitor health, availability metrics, and performance status directly from AI agents or automation workflows. Cron Monitoring Track scheduled jobs and background tasks with cron monitoring insights. Detect missed executions, delays, or failures and integrate alerts into AI-powered operational processes. Incident Management Retrieve incident history, status updates, and timelines programmatically. Automate incident analysis, reporting, and response workflows using AI tools. Status Pages Integrate public or internal status page data into AI environments. Automatically surface service status, ongoing incidents, and maintenance updates for improved transparency and communication. Use Cases AI-powered uptime and reliability monitoring Automated incident response and reporting Intelligent cron job supervision Status page automation and operational visibility Internal AI assistants for DevOps and SRE teams The Pulsetic MCP Server brings uptime monitoring and operational intelligence directly into modern AI ecosystems, enabling smarter automation, faster troubleshooting, and improved service reliability.