# attendance-engine

> Use this tool when you need to automate workforce attendance tracking and wage-and-hour compliance. The attendance-engine provides deterministic and fixture-backed tools, taking in employee data and producing accurate attendance and payroll information. It integrates with AI agents like Claude and Cursor, allowing HR and payroll teams to easily answer attendance-related questions.

Canonical page: https://skillsregistry.net/skills/arifur9993-attendance-engine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arifur9993-attendance-engine-mcp

## Description

attendance-engine-mcp is a Model Context Protocol server that gives AI agents
deterministic, fixture-backed tools for workforce attendance and wage-and-hour
compliance. Built on @attendance-engine/core — a pure-function, zero-deps,
100%-covered TypeScript engine — it lets Claude, Cursor, Windsurf, or any MCP
host correctly answer the questions HR/payroll teams actually ask: did this
person clock i

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ko354mzdzw)
- **Repository:** <https://github.com/arifur9993/attendance-engine-mcp>

## 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": "arifur9993-attendance-engine-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arifur9993-attendance-engine-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arifur9993-attendance-engine-mcp/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