# ukg_pro_wfm_mcp_server

> ukg_pro_wfm_mcp_server — fvmuzik00-ukg-pro-wfm-mcp-server. Use this tool when you need to interact with UKG Pro Workforce Management APIs using natural language, to streamline tasks such as scheduling, timekeeping, and attendance management. It solves problems like intent detection, input validation, and data hydration, providing complete and validated operational answers. Ideal for use cases requiring automated workforce management inquiries, it takes in natural language inputs and returns relevant, structured data outputs.

Canonical page: https://skillsregistry.net/skills/fvmuzik00-ukg-pro-wfm-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/fvmuzik00-ukg-pro-wfm-mcp-server

## Description

Enables natural language interaction with UKG Pro Workforce Management APIs. It detects intent, resolves missing inputs, hydrates related objects, and returns complete, validated operational answers across scheduling, timekeeping, attendance, and more.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/psni7abc2m)
- **Repository:** <https://github.com/fvmuzik00/ukg_pro_wfm_mcp_server>

## 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": "fvmuzik00-ukg-pro-wfm-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fvmuzik00-ukg-pro-wfm-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fvmuzik00-ukg-pro-wfm-mcp-server/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