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arifur9993/attendance-engine-mcp

by Various

MCP server giving AI agents tools for workforce attendance, overtime, overnight shifts & California wage-and-hour compliance.

A

MCP

arifur9993/attendance-engine-mcp

Added 1 June 2026

Overview

An MCP server that exposes tools for AI agents to handle workforce attendance, overtime, overnight shifts, and California wage-and-hour compliance. Built in TypeScript, it provides a structured interface for agents to query and manage attendance data.

Best for

Best for
Developers building AI agents for HR compliance and attendance management in California

Use cases

  • Integrate AI agents with HR systems to automate attendance tracking
  • Enforce California overtime and meal-break rules via agent workflows
  • Build compliance checks for overnight shift scheduling

Notes

An MCP server that exposes tools for AI agents to handle workforce attendance, overtime, overnight shifts, and California wage-and-hour compliance. Built in TypeScript, it provides a structured interface for agents to query and manage attendance data.

0 stars on GitHub. Last updated 2026-05-30. Licensed MIT.

Use cases

  • Integrate AI agents with HR systems to automate attendance tracking
  • Enforce California overtime and meal-break rules via agent workflows
  • Build compliance checks for overnight shift scheduling

Pros

  • Specialized for California wage-and-hour law, reducing compliance risk
  • Leverages MCP protocol for easy integration with AI agent frameworks
  • TypeScript codebase offers type safety and broad ecosystem support

Cons

  • No stars or community adoption yet, indicating early-stage or untested
  • Limited to California regulations, not applicable to other jurisdictions
  • Requires an MCP-compatible agent runtime to be useful

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Specialized for California wage-and-hour law, reducing compliance risk
  • Leverages MCP protocol for easy integration with AI agent frameworks
  • TypeScript codebase offers type safety and broad ecosystem support

Cons

  • No stars or community adoption yet, indicating early-stage or untested
  • Limited to California regulations, not applicable to other jurisdictions
  • Requires an MCP-compatible agent runtime to be useful