yavio
Active·★ 31·MIT·Updated 2026-10-22
Yavio is an open-source, self-hosted product analytics and visibility layer specifically designed for MCP servers and ChatGPT Apps. It provides deep insights into how AI platforms invoke your tools and how users interact with your widgets, tracking everything from tool calls to conversions and errors.
#Product Analytics#AI Application Analytics#Self-hosted#Open-source#LLM Observability#Tool Call Tracking#User Behavior Analytics#Developer Tools
01
Features
01Zero-config MCP instrumentation for automatic tool call capture
02User identification and retention tracking for detailed analytics
03Multi-step funnel and conversion tracking for user journeys
04Comprehensive analytics dashboard with KPIs, error analysis, and live event feed
05Self-hosted via Docker Compose for full infrastructure control
02
Compatibility
Model Context Protocol
Platform
Verified via docs
ChatGPT
Platform
Verified via docs
AI Platforms (Claude, Cursor, Windsurf, VS Code)
Integration
Verified via docs
Docker Compose
Deployment
Verified via docs
TypeScript
SDK Language
Verified via docs
React
Widget SDK
Verified via docs
03
Quick start
1
$ git clone https://github.com/teamyavio/yavio.git
2
$ cd yavio
3
$ ./scripts/setup-env.sh
4
$ docker compose up -d
04
Use cases
↳Monitoring AI tool usage and performance in ChatGPT/MCP applications.
↳Analyzing user interactions with AI-powered widgets and UI components.
↳Tracking conversion funnels and user journeys in AI-driven workflows.
↳Debugging and analyzing errors or latency in AI tool calls.
↳Gaining insights into user retention and behavior cohorts.
05
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