Spanly is a dedicated observability and monitoring platform built specifically for Model Context Protocol (MCP) servers. While generic tools struggle to make sense of agent traffic, Spanly gives SaaS engineering teams complete visibility into what is actually happening at the protocol level — from error rates and session traces to latencies, client analytics, and deployment alerts.
Standard APM tools only capture basic HTTP requests, which means the real story inside your MCP server stays hidden. Spanly goes deeper by capturing full JSON-RPC packets, including arguments, results, errors, and timings, and it does so across any programming language without requiring complex code changes. You get the detailed telemetry you need, right out of the box.
Spanly works alongside the infrastructure monitoring tools you already rely on, such as Datadog, Sentry, or New Relic, instead of replacing them. Together, they deliver complete protocol-aware telemetry for production AI agent environments, so your team can spot issues faster and keep MCP servers running reliably at scale.

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