TrackMCP is an analytics and observability platform for Model Context Protocol (MCP) servers. It helps developers understand how AI clients use their MCP servers by tracking tool calls, connected clients, sessions, workflows, outcomes, and reliability. The platform provides visibility into what users and agents are trying to accomplish, which tools are being used, where sessions stop, and whether workflows reach a successful result.

TrackMCP includes dashboards for usage analytics, client activity, tool performance, workflow completion, and failure detection. It can identify retries, stalled sessions, schema mismatches, silent failures, and other issues that may affect MCP server reliability. Developers can integrate TrackMCP with an existing server using the TypeScript or Python SDK and a small code addition, with collected data displayed in the analytics dashboard in real time. By turning MCP usage data into understandable insights, TrackMCP supports troubleshooting, performance monitoring, and ongoing improvement of AI-powered integrations.

Disclaimer: WebCatalog is not affiliated, associated, authorized, endorsed by or in any way officially connected to TrackMCP. All product names, logos, and brands are property of their respective owners.