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Last updated: July 5, 2026

Analyze Tools & Skills

See which tools, MCP servers, and skills developers use with AI coding agents.

The Tools & Skills tab shows what the agents actually call during sessions.

Tools & Skills tab showing MCP servers, tool calls, and usage inventory

What Analyze Tools & Skills Shows

  • Technical overview: Total tool calls, number of MCP servers, Bash executions, and skills used, each compared with the previous period.
  • MCP call volume over time and tool call distribution by tool type.
  • Inventory: A ranked list of MCP servers, skills, and command families, sorted by branch adoption, with call counts and error counts. Tabs split the inventory into Groups, MCP, Skills, Bash, and All, and a filter box narrows it. Entries below 1% adoption are collapsed behind a show control.

Use the branch adoption column to see how widely a tool or skill has spread, and the error counts to find tools or MCP servers that fail often and need attention.

How to Use Analyze Tools & Skills

Find broken integrations. The error count column shows which tools and MCP servers fail frequently. High error rates indicate misconfiguration, missing permissions, or unstable external services. Fix these to improve the developer experience.

See which tools developers rely on. The call count and branch adoption columns show which tools are used most heavily and most broadly. Tools with high adoption and low errors are working well. Tools with low adoption may be unknown to most developers or not useful for common workflows.

Track MCP server usage. The MCP inventory shows which external integrations developers use. High adoption indicates that a server provides real value. Low adoption may mean the integration is not well-known or the use case is narrow.

Identify effective skills. The skills inventory shows which encoded workflows developers invoke. Skills with high adoption and low errors are solving real problems. Skills with low usage may need better documentation or a clearer trigger.

Further Reading