Okta Mcp Server

Name: Okta Mcp Server
Author: fctr-id

@fctr-id

About Okta Mcp Server

The Okta MCP Server is a groundbreaking tool built by the team at Fctr that enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP). Built specifically for IAM engineers, security teams, and Okta administrators, it implements the M

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Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "okta-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

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Overview

What is Okta MCP Server?

The Okta MCP Server enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP). Built for IAM engineers, security teams, and Okta administrators, it provides tools for user management, group operations, access analysis, and login risk assessment.

How to use Okta MCP Server?

Install the server and configure it with your Okta API token. The recommended transport is Standard I/O (STDIO), but Streamable HTTP and remote HTTP are also available. Use an MCP-compatible AI client (e.g., Claude Desktop) to invoke tools such as analyze_user_app_access and list_okta_users.

Key features of Okta MCP Server

Special tools for access analysis and login risk assessment
Standard user management tools (list, get, groups, apps, factors)
Group operations (list, get, members, assigned apps)
Dual-mode transport: STDIO and HTTP
Enterprise-grade security with JWT bearer token support
Designed for lightweight workflows (<100 entities per transaction)

Use cases of Okta MCP Server

Quickly determine whether a specific user can access a given application
Assess the risk of a user’s recent login behavior with behavioral analysis
List all locked users in the Okta tenant and export to a spreadsheet via another MCP server
Retrieve details about a specific user, their group memberships, and enrolled MFA factors

FAQ from Okta MCP Server

What data is sent to the AI model?

All data returned by Okta MCP tools—including user profiles and group memberships—is sent to the LLM’s context for the duration of the conversation. You must be comfortable with your Okta data being processed by the AI provider’s systems.

What are the context window limitations?

MCP is designed for lightweight workflows. Limit requests to fewer than 100 entities per transaction. Avoid bulk operations like fetching all 10,000 users.