teamyavio

teamyavio / yavio

Public

The Open Source Analytics and Visibility Layer for ChatGPT Apps and MCP Apps.

yavio.ai chatgpt-apps chatgpt-apps-sdk mcp mcp-analytics mcp-apps
22
0
100% credibility
Found Feb 24, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Yavio is an open-source self-hosted analytics dashboard that tracks user interactions, tool calls, funnels, errors, and retention in AI apps and MCP servers with minimal integration.

How It Works

1
🔍 Discover Yavio

You hear about Yavio, a friendly tool that shows how people really use your AI chat apps.

2
💻 Start your dashboard

Download and launch Yavio on your computer to get your personal analytics viewer ready.

3
👤 Sign up and create project

Open the web dashboard, create a free account, and set up your first app project.

4
🔗 Connect your AI app

Add a quick connection to your AI assistant so it automatically tracks what users do.

5
📊 Watch data arrive

Use your app and see live events, charts, and numbers update right away in the dashboard.

6
🔍 Explore insights

Dive into overviews, tool breakdowns, errors, paths, and funnels to understand user behavior.

🎉 Master your app's usage

You now clearly see how users interact with your AI tools and know exactly how to make them better.

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AI-Generated Review

What is yavio?

Yavio delivers ai visibility analytics for ChatGPT apps and MCP servers, tracking tool calls, user funnels, errors, and live events across platforms like Claude or Cursor. Developers wrap their server with a 3-line TypeScript SDK or add a React hook to widgets, getting a self-hosted dashboard via Docker Compose for overviews, paths, tools, and users. It strips PII automatically and supports custom events like conversions, solving the black-box problem of AI tool usage without vendor lock-in.

Why is it gaining traction?

Unlike cloud-only tools like PostHog or Plausible analytics github setups, Yavio runs fully self-hosted with zero-config MCP instrumentation, auto-detecting platforms and correlating server-widget traces. The CLI handles init, up/down, logs, and doctor checks, while the dashboard offers github analytics ai features like Sankey paths and latency percentiles out-of-box. Multi-tenant workspaces with roles make it team-ready, hooking devs tired of manual event plumbing.

Who should use this?

MCP server builders needing endpoint analytics visibility and enforcement for procurement tools or AI agents. ChatGPT app devs tracking widget interactions and funnels without Google Analytics github pages hacks. Analytics engineers prototyping github analytics portfolio projects or self-hosting yahoo finance-style visibility dashboards.

Verdict

Promising alpha for self-hosted AI visibility analytics, but 13 stars and 1.0% credibility score signal early days—pin versions, expect schema changes. Solid docs and CLI ease eval; try for non-prod MCP apps if you need privacy-focused github analytics tool now.

(198 words)

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