Okta
 · MCP Server

Okta MCP — Identity Insights Without the Admin Console Maze

Improvado's MCP server pulls Okta identity and access data into your AI agent. Query user access, app assignments, authentication events, and provisioning status — without navigating the Okta admin console for every question. Works with Claude, Cursor, and any MCP-compatible tool.

46K+ metrics · Read & Write access · 500+ platforms · <60s setup
📈 Read

Read: Audit Access and Identity Data Instantly

Stop clicking through the Okta admin console for access reviews. Ask your AI agent about user app assignments, inactive accounts, authentication patterns, or group memberships — and get complete answers across your entire directory.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Write: Manage Users and Access Policies via AI

Provision users, update group memberships, assign applications, and manage lifecycle status directly through your AI agent. Identity operations that require admin console navigation — done in one prompt.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.

⚠️ Monitor

Monitor: Catch Security Anomalies and Access Drift

Set AI-powered watches on authentication events, privilege escalations, and access sprawl. Get notified about suspicious patterns and policy violations before they become incidents.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

Provision users, update group memberships, assign applications, and manage lifecycle status directly through your AI agent. Identity operations that require admin console navigation — done in one prompt.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Challenge 1

Access Reviews Take Weeks of Manual Effort

THE PROBLEM

Your security team runs quarterly access reviews. Each reviewer gets a spreadsheet of users and their app assignments, manually checks which are still appropriate, marks approvals or revocations, and sends it back. Compiling the initial export, chasing reviewers, and actioning the results takes 3 weeks every quarter.

HOW MCP SOLVES IT

Your AI agent pulls current user-to-app assignments from Okta, cross-references with HR system data on active employees and roles, and pre-populates the review with likely-stale access flagged for reviewer attention. What was 3 weeks becomes 3 days.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

Offboarding Gaps Leave Ghost Accounts Active

THE PROBLEM

Someone leaves the company. HR closes the Workday record. IT is supposed to deactivate Okta, revoke all app access, and remove from groups — but the checklist is manual and steps get missed. Six months later, an audit finds 15 former employees still have active SSO sessions.

HOW MCP SOLVES IT

Ask your AI agent to cross-reference Okta active accounts against your HR system. It surfaces accounts where the employment status is terminated but the Okta account is still active. Bulk deactivate and revoke access in one operation.

Challenge 3

App Sprawl Makes License Optimization Impossible

THE PROBLEM

Your organization pays for 500 Salesforce licenses, 300 Jira seats, and 200 GitHub Enterprise seats. But nobody knows how many are actively used. Pulling usage data per app and cross-referencing with Okta assignment data requires querying three separate systems and building a spreadsheet manually.

HOW MCP SOLVES IT

Improvado's MCP server queries Okta app assignment and authentication log data simultaneously. Ask your AI agent to surface apps assigned to users who haven't authenticated in 60+ days — the clearest signal of unused licenses.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams

One Framework. Five Roles. Zero Setup.

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.

Frequently Asked Questions

What Okta data can I query through the MCP server?
+

Users (profile, status, last login, MFA enrollment), groups and group memberships, application assignments, authentication and system log events, and provisioning activity. You can query individual users, bulk-filter by group or status, and analyze authentication event patterns across your directory.

Is this read-only or can I make changes to Okta through the MCP server?
+

Both read and write are supported. You can query users, events, and assignments in read-only mode, or perform write operations like deactivating users, updating group memberships, assigning apps, and managing lifecycle status. Write permissions are scoped to your Okta API token.

How does this handle Okta's system log data volume?
+

Okta's system log can contain millions of events. The MCP server queries with time-range and event-type filters so it fetches only relevant subsets. When you ask about failed logins in the last 7 days, it pulls that slice — not the full log history. Most queries return in under 5 seconds.

Can I use this for SOC 2 or ISO 27001 audit evidence collection?
+

Yes. The most common audit evidence requests — access reviews, privilege audit trails, authentication logs, offboarding verification — are all queryable through the MCP server. You can generate structured reports from Okta data that map directly to common audit control requirements, reducing evidence collection from days to hours.

What Okta data can AI agents actually query through Improvado MCP?
+

Improvado MCP surfaces Okta system log events, user and group directory data, application assignment records, and authentication policy metadata. AI agents can answer questions like which users have not logged in for 90 days, which groups have access to a specific application, or how many MFA challenges occurred in a given period. Sensitive fields such as password hashes are never extracted.

Does Improvado MCP support Okta's rate limits and avoid triggering suspicious activity alerts?
+

Yes. Improvado's data extraction layer respects Okta's API rate limits using adaptive throttling, spreading requests over time rather than bursting. Extraction activity appears as a registered OAuth application in your Okta audit logs, so security teams have full visibility. You can also restrict extraction to specific log categories to minimize API consumption.

What Okta data can I query through the MCP server?
Users (profile, status, last login, MFA enrollment), groups and group memberships, application assignments, authentication and system log events, and provisioning activity. You can query individual users, bulk-filter by group or status, and analyze authentication event patterns across your directory.
Is this read-only or can I make changes to Okta through the MCP server?
Both read and write are supported. You can query users, events, and assignments in read-only mode, or perform write operations like deactivating users, updating group memberships, assigning apps, and managing lifecycle status. Write permissions are scoped to your Okta API token.
How does this handle Okta's system log data volume?
Okta's system log can contain millions of events. The MCP server queries with time-range and event-type filters so it fetches only relevant subsets. When you ask about failed logins in the last 7 days, it pulls that slice — not the full log history. Most queries return in under 5 seconds.
Can I use this for SOC 2 or ISO 27001 audit evidence collection?
Yes. The most common audit evidence requests — access reviews, privilege audit trails, authentication logs, offboarding verification — are all queryable through the MCP server. You can generate structured reports from Okta data that map directly to common audit control requirements, reducing evidence collection from days to hours.
What Okta data can AI agents actually query through Improvado MCP?
Improvado MCP surfaces Okta system log events, user and group directory data, application assignment records, and authentication policy metadata. AI agents can answer questions like which users have not logged in for 90 days, which groups have access to a specific application, or how many MFA challenges occurred in a given period. Sensitive fields such as password hashes are never extracted.
Does Improvado MCP support Okta's rate limits and avoid triggering suspicious activity alerts?
Yes. Improvado's data extraction layer respects Okta's API rate limits using adaptive throttling, spreading requests over time rather than bursting. Extraction activity appears as a registered OAuth application in your Okta audit logs, so security teams have full visibility. You can also restrict extraction to specific log categories to minimize API consumption.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics