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Improvado connects Auth0 authentication logs, user management data, and security events to AI agents. Ask about login anomalies, user lifecycle metrics, and tenant health in plain English. Works with Claude, Cursor, and any MCP-compatible tool.
Stop writing custom scripts to pull Auth0 logs and user data. Ask your AI agent about login failure patterns, inactive users, MFA adoption rates, and unusual authentication events. The MCP server handles Auth0 Management API calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Block suspicious accounts, update user metadata, trigger password resets, and manage role assignments — all through your AI agent. Routine identity management tasks that require navigating the Auth0 dashboard happen in a single prompt.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Configure your AI agent to watch for brute force patterns, unusual geographic logins, MFA bypass attempts, and suspicious user creation events. Security monitoring that used to require a dedicated SIEM setup runs through natural language.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Block suspicious accounts, update user metadata, trigger password resets, and manage role assignments — all through your AI agent. Routine identity management tasks that require navigating the Auth0 dashboard happen in a single prompt.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
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.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
User profiles and metadata, authentication logs (logins, failures, anomaly detections), role and permission assignments, connection configurations, tenant statistics, MFA enrollment status, and organization data. Queryable through Auth0's Management API and Log Streams.
Both are supported. Read operations cover all user and log data. Write operations include blocking/unblocking users, updating metadata, triggering password resets, managing role assignments, and updating user profiles. Scope is controlled by your Auth0 Management API token permissions.
The primary security use case is anomaly detection in authentication logs. Your AI agent can analyze log patterns to identify credential stuffing, brute force attempts, unusual geographic logins, and suspicious user creation bursts — using natural language queries instead of SIEM rules or custom detection scripts.
Yes, if you configure credentials for multiple tenants. Your AI agent can then query across all connected tenants simultaneously, enabling cross-tenant comparisons of user counts, MFA adoption, and authentication health that would otherwise require custom engineering.
Yes. The MCP server operates under the permissions defined by your Auth0 Management API token. Improvado never stores user passwords or authentication tokens — only the metadata and log data your API key can legitimately access. All infrastructure is SOC 2 Type II certified.
Under 5 minutes. Create an Auth0 Machine-to-Machine application with the Management API permissions you want, connect the client ID and secret to Improvado, then add one line to your MCP client config. Your user and log data is queryable immediately.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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