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Netdata

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by netdata · Go

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

This MCP server enables Model Context Protocol connectivity for real-time infrastructure monitoring. It supports querying infrastructure components that cover metrics, logs, alerts, and ML-based anomaly detection. The project is positioned around netdata and related observability workflows, and is described as operating with MCP in two directions.

🛠️ Key Features

  • Real-time infrastructure monitoring
  • Metrics, logs, and alerts
  • ML-based anomaly detection
  • Model Context Protocol (MCP) support

🚀 Use Cases

  • AI assistants and clients connect to Netdata to query infrastructure
  • Tools and clients such as Claude, Cursor, VS Code, and CLIs
  • Setup for Netdata MCP server usage (with per-client guidance referenced separately)

⚡ Developer Benefits

  • Standard MCP integration for infrastructure queries
  • Clear split between server setup and “Supported AI Clients” guidance
  • Alignment with observability and alerting workflows

⚠️ Limitations

  • The excerpt only covers the “Netdata as an MCP server” side; “Netdata as an MCP client” is mentioned but not detailed.

Topics

monitoringdockerkubernetescncfprometheusnetdatadevopsobservabilityalertinginfluxdbgrafanadata-visualizationdatabaselinuxmachine-learningmysqlpostgresqlmongodbmcpai

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