# test-emp-database-mcp

> Use this tool when you need to analyze employee data, such as salaries and departmental statistics, and perform complex queries using SQL analytics. It solves problems related to employee data insights, providing pre-seeded sample data and supporting various SQL functions, including window functions and subqueries. The tool takes SQL queries as input and outputs analytical results, making it ideal for use cases that require in-depth employee data analysis.

Canonical page: https://skillsregistry.net/skills/eeshan-anand-test-employee-database-mcp  
JSON: https://api.skillsregistry.net/v1/skills/eeshan-anand-test-employee-database-mcp

## Description

An employee-analytics MCP server backed by SQLite with pre-seeded sample data, providing tools for common SQL analytics such as top N earners, department averages, window functions, and subqueries.

## 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:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vc1c54sdtc)
- **Repository:** <https://github.com/EESHAN-ANAND/test-employee-database-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": "eeshan-anand-test-employee-database-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eeshan-anand-test-employee-database-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eeshan-anand-test-employee-database-mcp/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