OpenTelemetry for Model Context Protocol (MCP) Analytics and Agent Observability

The growing adoption of the Model Context Protocol (MCP) for building interoperable AI agents necessitates a robust, standardized observability solution. Agents built on MCP rely on efficient tool use and precise context management, making performance bottlenecks and context window costs critical optimization targets. This article details a professional approach to implementing deep MCP analytics using OpenTelemetry (OTel), an open-source standard for collecting telemetry data.