# law-ontology-mcp

> Use this tool when you need to search and query Korean law ontology to retrieve specific information or visualize relationships between laws. It solves problems related to legal research, compliance, and analysis by providing a standardized interface for querying law data via SPARQL. The tool accepts SPARQL queries as input and returns relevant law data, statistics, and visualizations as output.

Canonical page: https://skillsregistry.net/skills/wintenboy-law-ontology-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wintenboy-law-ontology-mcp

## Description

Enables searching and querying Korean law ontology via SPARQL, with tools for law search, detail, agency, region, statistics, and network visualization.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u6aiymnsss)
- **Repository:** <https://github.com/wintenboy/law-ontology-mcp>

## 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": "wintenboy-law-ontology-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wintenboy-law-ontology-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wintenboy-law-ontology-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