# DB MCP (HR CSV → SQLite)

> Use this tool when you need to import and query HR data from CSV files, enabling structured analysis and metadata retrieval through read-only SQL queries and a JSON-RPC interface. It solves problems of data siloing and limited querying capabilities, providing a standardized interface for searching employee records. Ideal for use cases requiring ad-hoc data analysis and reporting from HR datasets.

Canonical page: https://skillsregistry.net/skills/daviddata-cloud-mcp-doc  
JSON: https://api.skillsregistry.net/v1/skills/daviddata-cloud-mcp-doc

## Description

This MCP server imports HR CSV data into an in-memory SQLite database to enable structured querying and metadata retrieval. It provides tools for executing read-only SQL queries and searching employee records through a standardized JSON-RPC interface.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ld3m9sj3cc)
- **Repository:** <https://github.com/daviddata-cloud/MCP_DOC>

## 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": "daviddata-cloud-mcp-doc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daviddata-cloud-mcp-doc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daviddata-cloud-mcp-doc/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