
Spanly
See what AI agents do inside your MCP server
About Spanly
Spanly is a powerful observability tool designed for SaaS engineering teams managing MCP (Managed Cloud Platform) servers, especially as the number of AI agents interacting with their products grows exponentially. It provides comprehensive insights into agent activity, allowing teams to monitor error rates, session traces, latency, client analytics, and deployment alerts in real-time. By offering a drop-in CLI or SDK, Spanly seamlessly integrates into existing workflows, supporting both US and EU data residency requirements. Its focus on MCP server transparency helps teams ensure reliability, performance, and security as AI agents become an integral part of their user experience. Built to work alongside popular monitoring tools like Datadog, Sentry, or New Relic, Spanly enhances observability without disrupting existing infrastructure. Its clear value lies in empowering SaaS companies to maintain high service quality amidst the rapid adoption of AI-driven features, making it an essential tool for modern product engineering teams.
Screenshots






Pros
- ✓Provides comprehensive observability specifically for MCP servers and AI agent activity
- ✓Supports US and EU data residency, ensuring compliance and data sovereignty
- ✓Drop-in CLI or SDK for easy integration into existing workflows
- ✓Designed for SaaS teams shipping MCP in production, compatible with popular monitoring tools
- ✓Real-time error tracking, latency analysis, and deployment alerts
Cons
- ✗Currently has no user reviews or widespread adoption data, making its maturity uncertain
- ✗May require technical expertise for integration and effective use
- ✗Pricing details are not publicly available, which could be a barrier for smaller teams
Use Cases
Pricing
Likely operates on a subscription-based model with tiered plans based on usage and features, but specific pricing details are not publicly available. It may offer free trials or tiered plans suitable for different team sizes and needs.
Quick Info
Topics
Makers
Tim Quinteiro
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