netdata/netdata#Netdata
by Various
The fastest path to AI-powered full stack observability, even for lean teams.
MCP
netdata/netdata#Netdata
Added 1 June 2026
Overview
Netdata is an open-source monitoring and observability platform written in C that collects real-time metrics from systems, containers, and applications. It provides dashboards and alerts for infrastructure health across full stacks with minimal resource overhead.
Best for
Best for
DevOps teams and developers needing lightweight, real-time infrastructure monitoring without heavy agent overhead
Use cases
- Real-time system and application performance monitoring
- Container and Kubernetes cluster observability
- Infrastructure alerting and anomaly detection
How to use
Tools exposed
FeatureComponentCapability
Notes
Netdata is an open-source monitoring and observability platform written in C that collects real-time metrics from systems, containers, and applications. It provides dashboards and alerts for infrastructure health across full stacks with minimal resource overhead.
79,017 stars on GitHub. Last updated 2026-06-01. Licensed GPL-3.0.
Use cases
- Real-time system and application performance monitoring
- Container and Kubernetes cluster observability
- Infrastructure alerting and anomaly detection
Pros
- Low CPU and memory footprint, runs efficiently on resource-constrained systems
- Real-time metric collection and visualization with minimal latency
- Open source with large community (79k+ stars) and active maintenance
Cons
- Requires manual configuration for complex multi-node setups
- Learning curve for advanced alerting and custom metric collection
- Storage and retention policies need tuning for long-term data retention
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Low CPU and memory footprint, runs efficiently on resource-constrained systems
- Real-time metric collection and visualization with minimal latency
- Open source with large community (79k+ stars) and active maintenance
Cons
- Requires manual configuration for complex multi-node setups
- Learning curve for advanced alerting and custom metric collection
- Storage and retention policies need tuning for long-term data retention
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