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Unify customers, revenue, feedback, work, and analytics in typed records.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "AIOProductOS MCP" MCP server from askskill: Run: claude mcp add 'com-aioproductos-mcp' -- npx -y @aioproductoscom/mcp
Using AIOProductOS MCP, pull the last 90 days of customers, revenue, user feedback, project progress, and key analytics metrics into one unified overview. Output customer segments, revenue trends, top feedback themes, current work item status, and anomalous metrics, and flag issues that need immediate attention.
A consolidated operations report with trends, grouped summaries, risk flags, and priority recommendations.
Use AIOProductOS MCP to find this month’s high-frequency customer feedback, cluster it by theme, and map each theme to existing tasks, bugs, or product requirements. If no matching item exists, create suggested to-dos with affected customers, potential revenue impact, and a recommended owner.
A feedback-to-work mapping list with gap analysis and actionable new item suggestions.
Using AIOProductOS MCP, analyze revenue fluctuations over the last 6 weeks together with customer changes, product usage data, support feedback, and in-flight projects. Identify likely causes, rank conclusions by strength of evidence, and suggest next validation steps.
A revenue fluctuation root-cause analysis with likely drivers, supporting evidence, ranked conclusions, and next-step validation plans.
Monitor infrastructure drift and execute audited AI operations from one secure control plane.
Give MCP-compatible AI agents persistent memory, goal tracking, and background monitoring.
Build production-ready AI tools with security, auditability, data quality, and testing.
Connect AI clients to retail customer, inventory, sales, order, and support workflows.
Expose read-only macOS app data to AI agents through MCP.
Connect OSSEC security monitoring to AI for alerts, host status, and event analysis.