# Leave Manager MCP Tool Server

> Use this tool when you need to streamline employee leave management, track leave balances, and automate leave approval processes. It solves problems related to leave administration, such as manual data entry and lack of transparency, by providing a centralized system for users to apply for leave and view leave history. The tool accepts leave requests and returns leave balances and approval status through an OpenAPI interface.

Canonical page: https://skillsregistry.net/skills/ahmad-act-local-ai-with-ollama-open-webui-mcp-on-windows  
JSON: https://api.skillsregistry.net/v1/skills/ahmad-act-local-ai-with-ollama-open-webui-mcp-on-windows

## Description

A centralized employee leave management system that allows users to check leave balances, apply for leave, and view leave history through an OpenAPI interface.

## 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:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ooommbqnq1)
- **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-local-ai-with-ollama-open-webui-mcp-on-windows"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahmad-act-local-ai-with-ollama-open-webui-mcp-on-windows` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahmad-act-local-ai-with-ollama-open-webui-mcp-on-windows/pull`

---
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