# Employee Leave Manager

> Use this tool when you need to manage employee leave balances, apply for leave, or retrieve leave history through a conversational AI interface. It solves problems related to HR workflows and employee self-service, providing a containerized system with tools for leave management and integration with AI capabilities. The tool takes in leave requests and dates as input and outputs leave balances and history, making it ideal for use cases where users interact with leave management systems through voice or text-based interfaces.

Canonical page: https://skillsregistry.net/skills/ahmad-act-employee-leave-manager  
JSON: https://api.skillsregistry.net/v1/skills/ahmad-act-employee-leave-manager

## Description

This MCP server provides a containerized employee leave management system built with FastMCP and Docker, featuring tools for checking leave balances, applying for leave with specific dates, and retrieving leave history from an in-memory database. The implementation integrates with Open WebUI through Docker Compose, connecting to Ollama for AI capabilities while exposing leave management functions as MCP tools that can be called by AI assistants. It's designed for HR workflows and employee self-service scenarios where users need to interact with leave management systems through conversational AI interfaces.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ahmad-act-employee-leave-manager)
- **Repository:** <https://github.com/ahmad-act/local-ai-with-ollama-open-webui-mcp-on-windows>

## 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": "ahmad-act-employee-leave-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahmad-act-employee-leave-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahmad-act-employee-leave-manager/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