# Employee Leave Management MCP Server

> Employee Leave Management MCP Server — sushmitha26-mcp-server-leave-management-demo. Use this tool when you need to streamline employee leave management processes through natural language interactions. It solves problems related to leave applications, approvals, and tracking, providing a simple interface for employees to apply, check balances, and list requests, and for managers to approve, reject, or cancel leave. It accepts natural language inputs and outputs leave status updates and balances.

Canonical page: https://skillsregistry.net/skills/sushmitha26-mcp-server-leave-management-demo  
JSON: https://api.skillsregistry.net/v1/skills/sushmitha26-mcp-server-leave-management-demo

## Description

Enables managing employee leave through natural language, including applying, approving, rejecting, and canceling leave, checking balances, and listing requests, using an in-memory data model.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fi2wv3h5nc)
- **Repository:** <https://github.com/Sushmitha26/mcp-server-leave-management-demo>

## 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": "sushmitha26-mcp-server-leave-management-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sushmitha26-mcp-server-leave-management-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sushmitha26-mcp-server-leave-management-demo/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