What is Agnost AI? An MCP server analytics platform
Blog post from WorkOS
Model Context Protocol (MCP) servers serve as intermediaries between large language models (LLMs) and the external tools they access, allowing AI applications to interact with various data sources and APIs. Agnost AI is an analytics platform that provides detailed observability into MCP servers by offering a global analytics dashboard that monitors tool invocations, latency, errors, and user behavior without requiring extensive configuration. By integrating with a single line of code, Agnost allows teams to track application performance, diagnose errors, and optimize tool usage through a comprehensive dashboard that displays metrics such as total invocations, success rates, and latency percentiles. The platform supports Python MCP servers, with plans to extend compatibility to TypeScript and Go, and offers a hosted dashboard for real-time monitoring and data export. Agnost addresses the observability challenges in MCP environments, enabling teams to identify performance bottlenecks, understand client distribution patterns, and enhance user experiences across various AI applications.