Okta MCP Server
by fctr-id
The Okta MCP Server enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP). It transforms how AI assistants can help manage and analyze Okta resources.
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What is Okta MCP Server?
The Okta MCP Server is a tool that implements the Model Context Protocol (MCP) specification, allowing AI models to interact with your Okta environment in a structured and secure way. It acts as an intermediary, enabling AI assistants to discover and use capabilities exposed by the server to manage and analyze Okta resources.
How to use Okta MCP Server?
To use the Okta MCP Server, you need to install it, configure it with your Okta settings and an MCP-compatible AI client (e.g., Claude Desktop, Microsoft Copilot Studio). The server supports STDIO and SSE transports, with STDIO being the recommended and more secure option. Once configured, you can use the AI client to send requests that leverage the server's tools to interact with your Okta tenant.
Key features of Okta MCP Server
Enables AI interaction with Okta
Implements Model Context Protocol (MCP)
Provides a structured interface for AI to manage Okta resources
Supports multiple AI providers (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI)
Offers various tools for user, group, application, policy, and log management
Supports STDIO and SSE transports
Designed for least-privilege operation
Provides read-only access to Okta resources by default
Use cases of Okta MCP Server
Automating Okta administration tasks with AI
Analyzing Okta user and group data using AI insights
Integrating Okta with AI-powered security tools
Creating AI-driven workflows for Okta management
Using AI to query Okta for specific information, like locked users or group memberships
FAQ from Okta MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is an open standard that enables AI models to interact with external tools and services in a structured, secure way.
What AI providers are supported?
What AI providers are supported?
The server supports OpenAI, Azure OpenAI, Anthropic, Google Vertex AI, and OpenAI Compatible providers.
What are the security considerations?
What are the security considerations?
Be aware of data flow and privacy implications, context window limitations, and the security risks associated with the SSE transport method.
What are the current limitations?
What are the current limitations?
The server is in alpha release and has limited API coverage, focusing on read-only operations for users and groups. Performance with very large Okta instances is not yet optimized.
How can I contribute?
How can I contribute?
Contact [email protected] for collaboration opportunities.