# Leave Management MCP Server

> Use this tool when you need to streamline employee leave management through natural language queries, enabling HR teams to efficiently check balances, apply leave, and view history. It solves problems related to manual leave tracking and provides a user-friendly interface for querying and managing employee leave data. Ideal for use in HR operations, it accepts natural language inputs and outputs relevant leave information.

Canonical page: https://skillsregistry.net/skills/nishankuu-mcp-project  
JSON: https://api.skillsregistry.net/v1/skills/nishankuu-mcp-project

## Description

Enables HR teams to query and manage employee leave through natural language using Claude Desktop, with tools for checking balances, applying leave, and viewing history.

## 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/acrmb3va05)
- **Repository:** <https://github.com/nishankuu/mcp_project>

## 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": "nishankuu-mcp-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nishankuu-mcp-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nishankuu-mcp-project/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