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Define, ship, and query analytics tracking from one trusted source.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Avo" MCP server from askskill: Run: claude mcp add --transport http 'io-github-avohq-avo' 'https://mcp.avo.app/mcp'
Create a complete analytics tracking plan for a subscription SaaS product covering signup, trial, payment, renewal, and churn risk, including event names, properties, and naming conventions.
A structured tracking plan with key events, property definitions, and consistent naming rules.
Look up the definition of the "checkout_completed" event, including trigger conditions, required properties, optional properties, and notes related to revenue reporting.
The standard event definition and implementation guidance for product and engineering alignment.
Review the current tracking plan for duplicate events, inconsistent naming, or missing properties, and suggest improvements.
A tracking quality review highlighting issues and recommended fixes.
Manage AI agents centrally and analyze performance, usage, and operational insights.
Integrate a next-gen AI value compute protocol into automated workflows.
Lets AI agents query web traffic, funnels, revenue, and manage sites.
Set up a local registry and analytics hub for AI components.
Manage Avaza projects, tasks, timesheets, expenses, invoices, and schedules via AI.
Query and analyze AWO facility and service datasets with natural language.