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Netdata MCP

Observability data accessible to AI agents via MCP

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Netdata's MCP integration exposes infrastructure monitoring, discovery, and root-cause analysis capabilities to AI agents. Built into the 78K+ star Netdata monitoring platform, it lets agents query real-time metrics, explore system health, investigate incidents, and generate observability reports through the Model Context Protocol.

Netdata's MCP integration brings one of the most widely deployed open-source monitoring platforms into the agentic development ecosystem. With the MCP surface built directly into Netdata, AI agents can access real-time infrastructure metrics, system health data, alerting information, and historical performance data through standardized MCP tools. This enables agents to assist with incident investigation, capacity planning, and performance optimization using actual observability data rather than general knowledge.

The integration supports agent-facing discovery and exploration — agents can browse available metrics, understand system topology, and drill down into specific services or hosts. Root-cause analysis capabilities let agents correlate metrics across different system components to identify the source of performance issues. Report generation tools enable agents to synthesize monitoring data into human-readable summaries for incident reviews or stakeholder updates.

Netdata itself has 78,100+ GitHub stars and monitors millions of nodes worldwide, making its MCP integration one of the most data-rich monitoring sources available to AI agents. The combination of Netdata's comprehensive metric collection (thousands of metrics per node with one-second granularity) and MCP's standardized access protocol creates a powerful tool for DevOps and SRE teams using AI assistants to manage infrastructure health.

Pricing

Free and open-source core, Netdata Cloud plans available

Platforms

Netdata agent, MCP Server, Linux/macOS/Docker

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