Monitor Model Context Protocol (MCP) servers with OpenLIT and Grafana Cloud | Endigest
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This post explains how to instrument and monitor MCP servers using OpenLIT and Grafana Cloud for AI observability.
- •MCP servers route tool calls between AI agents and external services, becoming a black box without proper observability.
- •OpenLIT auto-instruments MCP via a single openlit.init() call, capturing OpenTelemetry spans for context management and tool execution.
- •Tracked metrics include tool_invocation_duration_ms, invocation counts, context window size, memory usage, and error rates.
- •Grafana Cloud's AI Observability integration provides pre-built dashboards covering tool performance, protocol health, resource usage, and error tracking.
- •Zero-code instrumentation is supported via the openlit-instrument CLI wrapper, requiring no code modifications to existing services.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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