About This Site
Observability and monitoring platform for Model Context Protocol (MCP) servers. Spanly is a dedicated observability and monitoring platform built specifically for Model Context Protocol (MCP) servers. It provides SaaS engineering teams with full visibility into their MCP traffic, tracking error rates, session traces, latencies, client analytics, and deployment alerts at the protocol level. Unlike standard APM tools that capture basic HTTP requests, Spanly captures full JSON-RPC packets (arguments, results, errors, and timings) across any programming language without requiring complex code changes. It works alongside existing infrastructure monitoring tools like Datadog, Sentry, or New Relic to deliver complete protocol-aware telemetry for production AI agent environments.
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Key Features AI
Core Features
Protocol-aware tracing capturing full JSON-RPC payloads (arguments, results, errors)
Real-time session tracking grouping requests end-to-end
Comprehensive performance metrics broken down by p50, p95, and p99 durations
Automated error tracking and grouping across servers and clients
US & EU regional data residency options with GDPR-friendly architecture
IDE integration allowing engineers to search traces and triage errors from tools like Claude Code or Cursor
Advantages
Zero code changes required when using the CLI wrapper or Docker sidecar
Supports any language operating over standard I/O (stdio) or HTTP protocols
Saves tracing quota by capturing specialized protocol details that traditional APMs miss
Provides granular analytics broken down by specific clients, tools, prompts, and resources
Offers strict regional data residency with no cross-region replication
缺点：Free tier has a soft cap where additional requests are subject to sampling
缺点：Alerting capabilities and public dashboards are excluded from the free tier
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