# DataClawe — Database as a Utility

> Use this tool when you need to interact with databases using natural language, eliminating the need for SQL queries. DataClawe solves problems of database complexity and inaccessibility, allowing users to retrieve and manage data with plain language inputs and receiving relevant outputs. It is ideal for use cases involving MySQL and PostgreSQL databases, streamlining data interaction and analysis.

Canonical page: https://skillsregistry.net/skills/com-dataclawe-dataclawe-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-dataclawe-dataclawe-mcp

## Description

AI-native database utility. Talk to your DB in plain language. No SQL. MySQL & PostgreSQL.

## Trust

- **Trust score (0–1):** 0.85
- **Circle-IR tier:** verified
- **Verification tier:** verified
- **Last scanned:** 2026-06-17
- **Dimensions:** security 83.00, supply 100.00, quality 100.00, reliability 100.00, compliance 97.00, provenance 100.00

## Facts

- **Version:** 1.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.dataclawe%2Fdataclawe-mcp)
- **Repository:** <https://github.com/DataClawe/dcl-spec>

## Use it

MCP endpoint published by the skill: `https://mcp.dataclawe.com/sse`

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": "com-dataclawe-dataclawe-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-dataclawe-dataclawe-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-dataclawe-dataclawe-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