# okta-mcp-em-python

> Use this tool when you need to manage access and entitlements in Okta IGA through natural conversation, importing access data and discovering patterns to create entitlement bundles. It solves problems of manual data processing and complex entitlement management, providing a user-friendly interface for inputting natural language commands and outputting structured access data. Ideal for use cases requiring efficient and intuitive identity governance and administration.

Canonical page: https://skillsregistry.net/skills/ashwinramn-okta-mcp-em-python  
JSON: https://api.skillsregistry.net/v1/skills/ashwinramn-okta-mcp-em-python

## Description

Talk to Okta IGA like you talk to a coworker. Import access data, discover patterns, and create entitlement bundles—all through natural conversation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q38ae7esuu)
- **Repository:** <https://github.com/ashwinramn/okta-mcp-em-python>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ashwinramn-okta-mcp-em-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashwinramn-okta-mcp-em-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashwinramn-okta-mcp-em-python/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt