What You're Looking At
The stats dashboard shows the AI tool ecosystem in numbers. Total tool count across all types (MCP servers, skills, agents). Growth over time. Category breakdowns. Trend data. These numbers come from aggregating data across 50+ directories and registries.
Reading the Growth Chart
The ecosystem growth chart shows new tools added per period and cumulative totals. A steep upward curve means rapid growth. A flattening curve means the growth rate is slowing (not that tools are disappearing). Look at the slope rather than the absolute number to understand momentum.
Compare growth rates across categories to see where the action is. If MCP servers are growing at 15% per month and agents at 5%, that tells you where developer energy is concentrated right now.
Category Breakdowns
The category breakdown shows how many tools exist in each category (database, file system, communication, etc.) and their relative sizes. Large categories with many options usually have well-established winners. Small, fast-growing categories represent opportunities and emerging needs.
Using Stats for Decisions
Stats data is useful for several types of decisions. For tool selection: a growing category with many options means competition has driven quality up. For tool building: a small category with growing demand suggests an underserved niche. For team planning: ecosystem growth patterns help predict where new capabilities will become available.
Related Reading
- How Skillful.sh Tracks Ecosystem Health Over Time
- How the AI Tool Ecosystem Grew So Fast
- The Role of Pulse Tracking in Ecosystem Monitoring
View the stats dashboard. See trending tools. Search 137,000+ AI tools.