- Logs, metrics, and traces all apply to MCP servers.
- None of the three explain behavior or completion.
- Behavioral analytics is the missing fourth layer.
Observability is usually described as three pillars: logs, metrics, and traces. All three apply to an MCP server, but agent traffic adds a requirement the classic pillars miss: behavioral analytics.
Logs
Logs are the raw event record: a call arrived, a result left. Essential for debugging a specific incident, but they say nothing about behavior across many calls or whether a user's task completed.
Metrics
Metrics aggregate: request rate, latency percentiles, error counts. They tell you the system's health over time, but by default they treat a 200 as success and miss tool-level failures.
Traces
Traces follow one request across services. Useful when a tool call fans out to several backends and you need to find the slow hop.
The missing pillar: behavior
None of the three answers 'which tools do agents adopt, which workflows complete, and where do sessions stop?' That is the analytics layer, and it is what turns observability into product decisions for an MCP server.
See this on your own server
TrackMCP turns your MCP server's calls into adoption, workflows, and outcomes. One line to install.