Agnost AI
Agnost gives you unified analytics for MCP servers—monitor performance, latency, and user behaviour with full visibility in under two minutes.
Agnost is an analytics platform purpose-built for the Model Context Protocol (MCP) ecosystem. It gives developers real-time visibility into how AI agents interact with their MCP servers — tracking usage, latency, and performance with precision.
Key Features
- Granular Insights: Monitor request patterns, agent behaviors, and system performance across all MCP endpoints.
- Unified Dashboards: Visualize metrics, logs, and trends from a single, streamlined interface.
- User Profiling: Understand how individual agents or users engage with your MCP infrastructure.
- Privacy-First Design: Built with data minimization and secure telemetry collection at its core.
- Open-Source SDKs: Start tracking in seconds with lightweight, developer-friendly SDKs and one-line integration.
Who It’s For
Perfect for AI infrastructure teams, developers, and researchers who want to:
- Monitor and debug MCP deployments in real time.
- Optimize performance and resource allocation.
- Scale their agent ecosystems intelligently and transparently.
With Agnost, you get the visibility and control needed to analyze, optimize, and scale your MCP infrastructure — all from one powerful analytics platform.
