# mnemiq

> mnemiq — agenticfabriq-mnemiq. Use this tool when you need to convert complex text queries into structured SQL queries, solving problems of data retrieval and analysis from databases. It takes in text inputs and outputs corresponding SQL queries, allowing for customization and measurement on your own database. Ideal for use cases where natural language interfaces are desired, such as data exploration and business intelligence applications.

Canonical page: https://skillsregistry.net/skills/agenticfabriq-mnemiq  
JSON: https://api.skillsregistry.net/v1/skills/agenticfabriq-mnemiq

## Description

Open-source text-to-SQL engine you tune and measure on your own database

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/agenticfabriq/mnemiq)

## 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": "agenticfabriq-mnemiq"
    }
  }
}
```

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