Menu
Grafana Cloud
MCP observability configuration
Configure MCP Observability to monitor Model Context Protocol operations using OpenLIT SDK configuration options.
Shared configuration
MCP Observability uses the same OpenLIT SDK configuration as other AI Observability components. For comprehensive configuration options, refer to the GenAI Observability Configuration.
The following configurations apply to all AI Observability components:
- Tracing configuration - Custom resource attributes, privacy controls, manual tracing
- Metrics configuration - Metric collection settings, custom attributes
- Performance optimization - Batch settings, disabled instrumentation
Was this page helpful?
Related resources from Grafana Labs
60 min
Getting started with managing your metrics, logs, and traces using Grafana
In this webinar, we’ll demo how to get started using the LGTM Stack: Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics.
60 min
Intro to Kubernetes monitoring in Grafana Cloud
In this webinar you’ll learn how Grafana offers developers and SREs a simple and quick-to-value solution for monitoring their Kubernetes infrastructure.
31 Oct
Building advanced Grafana dashboards
In this webinar, we’ll demo how to build and format Grafana dashboards.