What data sources does this skill use for analysis?

The skill analyzes the mcp_audit_logs and skill_events tables to track user interactions, searches, and successful skill applications.

What is 'search skip analysis' in the report?

It identifies instances where users searched for functionality but skipped the results, helping you understand where current skills may be failing to meet user needs.

What are the prerequisites for running this skill?

You must have a DATABASE_URL configured and the necessary database tables (mcp_audit_logs and skill_events) must exist and be accessible.

How does the skill identify low-performing skills?

It uses a conversion funnel that tracks the path from 'search' to 'load' to 'apply', flagging skills with high drop-off rates at any stage.

Can I customize the timeframe for the usage report?

Yes, you can use the --days=N flag to specify the analysis period. It defaults to the last 30 days if not specified.

MCP Usage Analytics

Name: MCP Usage Analytics
Author: chat-prompt

bychat-prompt

0•

分析と監視

Generates comprehensive reports on Model Context Protocol (MCP) plugin usage behaviors using audit logs and skill events.

This skill provides deep insights into how MCP plugins are utilized within your environment by analyzing mcp_audit_logs and skill_events data. It automates the generation of detailed reports covering client comparisons between Claude Code and OpenCode, popular search terms, skill adoption rates, and conversion funnels. It is an essential tool for developers and platform maintainers who need to monitor plugin performance, identify underperforming skills through skip analysis, and understand user intent via hourly and daily usage trends.

主な機能

01Detailed search skip analysis to identify missing skill functionality

02Comprehensive funnel analysis for skill search, load, and application phases

03Visualized usage trends including hourly distributions and daily growth

040 GitHub stars

05Automatic identification of top-performing skills and popular search keywords

06Comparative metrics between Claude Code and OpenCode client usage

ユースケース

01Monitoring platform adoption and usage patterns across different timeframes

02Tracking user behavior and search intent to inform future skill development

03Auditing plugin performance to identify and optimize low-conversion skills

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add chat-prompt/gpters-ai-toolkit analyze-mcp-usage

For use in Claude.ai and ChatGPT

主な機能

01Detailed search skip analysis to identify missing skill functionality

02Comprehensive funnel analysis for skill search, load, and application phases

03Visualized usage trends including hourly distributions and daily growth

040 GitHub stars

05Automatic identification of top-performing skills and popular search keywords

06Comparative metrics between Claude Code and OpenCode client usage

ユースケース

01Monitoring platform adoption and usage patterns across different timeframes

02Tracking user behavior and search intent to inform future skill development

03Auditing plugin performance to identify and optimize low-conversion skills

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add chat-prompt/gpters-ai-toolkit analyze-mcp-usage

For use in Claude.ai and ChatGPT