# Employee Leave Manager MCP

> Employee Leave Manager MCP — tharushidinushika-employee-leave-manager-mcp. Use this tool when you need to streamline employee leave management through conversational interfaces, solving issues like leave balance tracking and application processing. It takes natural language inputs and provides outputs on leave status, balances, and history, with data stored locally for secure access. Ideal for HR teams and managers seeking to automate leave management tasks and improve employee experience.

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

## Description

Enables managing employee leave through natural language, including checking balances, applying for or canceling leave, and viewing history, with data stored in a local SQLite database.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ihh2n2tuqw)
- **Repository:** <https://github.com/TharushiDinushika/Employee-Leave-Manager-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": "tharushidinushika-employee-leave-manager-mcp"
    }
  }
}
```

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