Usage stats

The App MCP Stats page gives you an at-a-glance view of how your published MCP server is being used: how many end users it reaches, which MCP agents drive the most traffic, and which published tools are called most often. Open it from the Stats tab on your app's page.

Time-range filter

By default the page shows all-time activity. Use the filter buttons in the top-right to narrow the whole page — the metric cards, the top agents, and the per-tool table all update together:

Filter	Window
All time	Every recorded invocation (default)
Last 24h	Calls in the past 24 hours
Last 7 days	Calls in the past 7 days
Last 30 days	Calls in the past 30 days

Summary metrics

Metric	Description
Users using App MCP	Distinct connected end users with at least one invocation in the selected window
Total tool calls	All calls across this app's published MCP tools
Published tools used	How many published tools have been called, out of the total published, with the single most-used tool

Success & error rate

The Success & error rate card shows how reliable your app's tools are for the selected period:

• A success rate percentage — the share of calls that returned a 2xx or 3xx status.

• A stacked bar splitting all calls into Success (2xx/3xx), Client errors (4xx), and Server errors (5xx), with a count for each.

The Top error codes card next to it lists the most frequent error codes across the app's published tools, with each code's count and its share of all errors. When there are no errors in the window it shows an empty state.

Both cards update together with the time-range filter. They are aggregate-only — no individual end user is ever identified.

Top MCP agents

The Top MCP agents section ranks the MCP clients calling your tools — for example Claude, ChatGPT, or Cursor — by call volume for the selected time range. Each card shows the agent name, its call count, and its share of total traffic. If no calls have been made in the window, the section shows an empty state.

MCP agents are identified from the client name each MCP client reports when it connects. Calls from clients that don't report a name are grouped under Unknown MCP Client.

Usage by published tool

The per-tool table breaks usage down for each enabled tool on your published servers:

Column	Description
Tool	Method, tool name, and API path
Calls	Number of invocations in the window
Users	Distinct end users who called the tool
Success	Calls that returned a 2xx/3xx status
Errors	Calls that returned an error status
Avg latency	Mean end-to-end latency in milliseconds
Last used	Timestamp of the most recent invocation

For a full audit trail of individual invocations, see Execution logs. Stats are always scoped to your workspace — you only ever see usage for your own apps and servers.

Reading stats from an AI agent

These same stats are available as an MCP tool — get_app_stats — on the FlowCP platform MCP server. An AI agent can read them with the same time-range filter (range = 24h, 7d, 30d, or all-time) without opening the dashboard. The tool is scoped to the workspace bound to the agent's access token.