Auth0 + Improvado MCP — Identity Data, Instantly Queryable

Leadership wants to know how many users are actually active versus dormant. Pulling this from Auth0 means writing a script that handles pagination through potentially millions of users, tracks last login timestamps, and groups the output. The script gets written once, breaks after an Auth0 API update, and nobody fixes it.

Ask your AI agent directly. The MCP server handles pagination, timestamp filtering, and aggregation across the entire user base. You get an accurate count of active, dormant, and never-logged-in users in under a minute — with breakdowns by connection type or metadata segment.

Auth0 generates thousands of log events daily. A credential stuffing attack might be visible in the data — many failed logins across many accounts from distributed IPs — but nobody is watching the raw logs. By the time someone notices elevated failed logins, the attack has been running for hours.

Your AI agent monitors authentication logs continuously and surfaces patterns that indicate attacks. It distinguishes a single user forgetting their password from a distributed credential stuffing attempt — and alerts immediately when thresholds are crossed.

You run multiple Auth0 tenants — production, staging, different product lines. Getting a consolidated view of user counts, MFA adoption, and authentication health across all tenants requires building a custom aggregation layer. Most teams never build it, so each tenant is managed in isolation.

The MCP server can query across multiple Auth0 tenants if your credentials have access. Ask your AI agent for cross-tenant comparisons — MFA adoption rate by tenant, total active users across all tenants, or login success rates by environment. Multi-tenant visibility without custom engineering.