# Enterprise HR MCP Server

> Enterprise HR MCP Server — muhammedriswanp-enterprise-mcp-agent-demo. Use this tool when you need to manage and retrieve employee data, track leave balances, or access product inventory information, and integrate with AI agents for automated support and escalation. It solves problems related to employee information management, leave tracking, and support ticket management, providing a centralized interface for HR and administrative tasks. The tool accepts various input requests and returns relevant data, making it ideal for use in enterprise HR and administrative contexts.

Canonical page: https://skillsregistry.net/skills/muhammedriswanp-enterprise-mcp-agent-demo  
JSON: https://api.skillsregistry.net/v1/skills/muhammedriswanp-enterprise-mcp-agent-demo

## Description

Exposes tools for employee information, leave balance, support tickets, and product inventory, with AI agent integration and A2A communication for escalation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sw10iv8h5v)
- **Repository:** <https://github.com/muhammedriswanp/enterprise-mcp-agent-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": "muhammedriswanp-enterprise-mcp-agent-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muhammedriswanp-enterprise-mcp-agent-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muhammedriswanp-enterprise-mcp-agent-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