home / mcp / okta mcp server (v0.1.1-beta) 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 MCP specification to help work with Okta enitities
Configuration
View docs{
"mcpServers": {
"fctr-id-okta-mcp-server": {
"command": "DIR/okta-mcp-server/venv/Scripts/python",
"args": [
"DIR/okta-mcp-server/main.py"
],
"env": {
"OKTA_API_TOKEN": "OKTA_API_TOKEN",
"OKTA_CLIENT_ORGURL": "https://dev-1606.okta.com"
}
}
}
}You can use the Okta MCP Server to let AI models securely interact with your Okta environment through the Model Context Protocol (MCP). This enables automated access analysis, risk assessment, and streamlined administration tasks by exposing carefully described tools that let AI assistants query Okta data and perform defined actions within a controlled, evaluable framework.
You will run the MCP server locally and connect your MCP client (such as Claude Desktop or a compatible AI assistant) to a local or containerized Python process. Use the provided standard I/O transport for desktop integrations or explore HTTP transports if your client supports real-time streaming.
Prerequisites you need before starting:
- Python 3.8+ installed on your machine
- An Okta tenant with API access permissions
- A MCP-compatible AI client (for example Claude Desktop or other MCP-enabled clients)
Configuration and usage details are gathered below. You will set up environment variables for Okta access, run the server using Python, and configure your MCP client to connect via the supported transport mode. Security considerations emphasize least-privilege operation and read-only access by default, with explicit approval flows for any write operations.
Comprehensive user application access evaluation with policy analysis to replace multi-step manual checks.
In-depth login behavior analysis including VPN/Tor detection and geographic impossibility checks to evaluate risk.