# dati

> dati — yimindev-dati. Use this tool when you need to convert databases into secure and semantically-rich tools for AI agents, solving data accessibility and query complexity issues. It takes database schemas and natural language inputs, and outputs SQL queries and parameterized templates, enabling seamless interaction between AI agents and databases. Ideal for use cases requiring automated data retrieval and analysis, such as data-driven decision making and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/yimindev-dati  
JSON: https://api.skillsregistry.net/v1/skills/yimindev-dati

## Description

Turn your database into secure, semantically rich MCP tools for agents.

## Trust

- **Trust score (0–1):** 0.86
- **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/yimindev/dati)

## 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": "yimindev-dati"
    }
  }
}
```

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