# LeaveManager

> Use this tool when you need to manage employee leave efficiently, as it solves problems related to leave balance tracking, application, and history retrieval through natural language interactions. The LeaveManager tool takes in natural language inputs and provides outputs such as leave balances, application status, and leave history via its integration with Claude. It is ideal for use in human resources and employee management contexts.

Canonical page: https://skillsregistry.net/skills/umamaheswararao04-leavemanager-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/umamaheswararao04-leavemanager-mcp-server

## Description

A Model Context Protocol server that enables users to manage employee leave through natural language. It provides tools to check leave balances, apply for leave, and view leave history via Claude integration.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wnof2mnz09)
- **Repository:** <https://github.com/umamaheswararao04/leavemanager-mcp-server>

## 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": "umamaheswararao04-leavemanager-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/umamaheswararao04-leavemanager-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/umamaheswararao04-leavemanager-mcp-server/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
