# Employee Management MCP Server

> Use this tool when you need to efficiently manage and retrieve employee records, or when you want to integrate natural language commands to interact with staff data. It solves problems related to employee data organization and accessibility, providing a user-friendly interface to list directories, retrieve profiles, and search staff by department. The tool accepts natural language inputs and outputs detailed employee profiles and directory listings.

Canonical page: https://skillsregistry.net/skills/suchitad1950-new-version-of-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/suchitad1950-new-version-of-mcp-server

## Description

Enables managing employee records by providing tools to list directories, retrieve detailed profiles, and search for staff by department. It integrates with Claude Desktop to allow users to interact with employee data through natural language commands.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nub5ivoczt)
- **Repository:** <https://github.com/suchitad1950/New-Version-of-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": "suchitad1950-new-version-of-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/suchitad1950-new-version-of-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/suchitad1950-new-version-of-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