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Okta MCP Server

@fctr-id

代码仓库主页

基本信息

分类

开发工具

许可证

Apache-2.0

传输方式

stdio

作者

fctr-id

提交者

fctr.io

关于 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

#python#identity#ai#mcp#artificial-intelligence#identity-management#okta#agentic-ai#mcp-server

Okta MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Okta MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

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.

3

Is HTTP transport secure?

HTTP

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