# employee-leave-management-mcp

> employee-leave-management-mcp — svijayingle-employee-leave-management-mcp. Use this tool when you need to efficiently manage employee leave records through natural language commands, solving problems such as tracking employee absences and leave balances. It takes in voice or text inputs to perform tasks like adding employees, listing employees, and modifying leave entries, and outputs updated leave records and histories. Ideal for HR managers and administrators seeking to streamline leave management processes.

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

## Description

Enables managing employee leave records through natural language, including adding employees, listing employees, adding/deleting leave entries, and viewing leave history.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aimro5e2vr)
- **Repository:** <https://github.com/svijayingle/employee-leave-management-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": "svijayingle-employee-leave-management-mcp"
    }
  }
}
```

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