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Query and analyze Dota 2 matches, heroes, and player stats via STRATZ.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Stratz" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-stratz' 'https://gateway.pipeworx.io/stratz/mcp'
Use Stratz to find Zeus's win rate, pick rate, and common item builds in the current patch, then summarize why the hero is strong.
Core patch statistics, popular item build paths, and a concise performance analysis.
Use Stratz to analyze this Dota 2 player's last 20 matches, including hero choices, win-loss results, and KDA trends, then provide improvement suggestions.
A summary of recent match data, trend observations, and targeted improvement recommendations.
Use Stratz to compare Queen of Pain and Puck in the current patch by win rate, ban rate, common lanes, and power spike timings.
A structured comparison to help judge patch priority and best-use scenarios for both heroes.
Query Dota 2 open stats and analyze heroes, teams, and players.
Analyze Dota 2 matches from replays and OpenDota with coaching guidance.
Search Strasbourg open datasets, inspect metadata, and query records with ODSQL.
Connect to Strava data and query athletes, activities, segments, clubs, and routes.
Analyze League of Legends matches, review performance, and generate training plans.
Connect Strava data for training analysis, workout planning, and gear insights.