Measure MCP server usage, failures, and workflow outcomes
TrackMCP adds analytics and observability at the MCP server boundary. It groups tool calls into clients, sessions, and workflows so teams can see adoption, latency, retries, silent failures, and completed outcomes.
Route every AI model through one open-source gateway.
Debug running services with read-only probes, without redeploying.
Data is being prepared
Traffic data is refreshed monthly.
Sync company data into one encrypted lake for Claude, Codex, and analytics.
Give AI agents a visible learning loop from real interactions.