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by AVIMBU • Analytics & Monitoring
Connects an Uptime Agent monitoring account to AI assistants (e.g., Claude) via the Model Context Protocol to enable real-time monitoring access and incident management.
List and inspect active uptime monitors and their statuses in real time.
Retrieve and analyze downtime incidents (by time range or monitor) to summarize incident history and average downtime.
Create new monitoring endpoints or public anonymous tracking entries on behalf of users.
This MCP server exposes Uptime Agent monitoring functionality to AI assistants so they can list and inspect monitors, create new monitors, and view/analyze downtime incidents via natural language. It supports secure API-key-based configuration, Docker deployment, and integration with tools like Claude Desktop and Smithery. The server is intended to streamline incident investigation and monitor management by letting agents query live monitoring data and create public tracking endpoints.
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