Use this file to discover all available pages before exploring further.
If your application exposes an MCP server, Monocle provides a dedicated dashboard for tracking how AI tools interact with it. See which tools are called, by whom, and how they perform.
This page is about monitoring your MCP server. If you are looking for how
to connect AI tools (Claude Code, Cursor, etc.) to Monocle’s MCP server,
see the Monocle MCP Server page.
Overview stats: total tool calls, average and P95 latency, error rate, unique users and clients
Calls and duration charts: time-series showing success/error distribution and latency trends
Clients table: which MCP clients are making calls, with volume and timing data
Users table: which users are using the MCP server
Tools table: breakdown by tool with call count, latency percentiles, and error rate. Click any tool to see its detailed metrics and recent calls with links to full traces.
Since there is no official OpenTelemetry semconv for MCP yet, attributes use the mcp.* namespace. All MCP instrumentations must emit these attributes for the dashboard to work correctly.
