# QueryCraftMCP

> Use this tool when you need to integrate large language models (LLMs) with database systems, enabling dynamic query execution and schema discovery. QueryCraftMCP solves data access and retrieval problems by bridging the gap between LLMs and PostgreSQL and SQLite databases. It takes LLM queries as input and outputs relevant data, making it ideal for use cases requiring flexible and efficient data interaction.

Canonical page: https://skillsregistry.net/skills/ratchanonth60-querycraftmcp  
JSON: https://api.skillsregistry.net/v1/skills/ratchanonth60-querycraftmcp

## Description

A flexible Model Context Protocol server that enables LLMs to interact with database systems, supporting dynamic schema discovery and query execution across PostgreSQL and SQLite backends.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d8535a569v)
- **Repository:** <https://github.com/ratchanonth60/QueryCraftMCP>

## 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": "ratchanonth60-querycraftmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ratchanonth60-querycraftmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ratchanonth60-querycraftmcp/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
