# Enterprise Data MCP Server

> Use this tool when you need to manage and analyze employee data using natural language queries, enabling efficient CRUD operations, search, and statistical analysis. It solves problems related to employee data management, such as data retrieval and updates, by providing a user-friendly interface for querying and manipulating the database. Ideal for HR and administrative tasks, it accepts natural language inputs and returns relevant data and statistics as output.

Canonical page: https://skillsregistry.net/skills/diluksha-upeka-mcp  
JSON: https://api.skillsregistry.net/v1/skills/diluksha-upeka-mcp

## Description

MCP server providing natural-language tools for managing and querying an employee database, including user CRUD, search, and statistics.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-07-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aofpbfz14q)
- **Repository:** <https://github.com/Diluksha-Upeka/MCP>

## 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": "diluksha-upeka-mcp"
    }
  }
}
```

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

---
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