# Korean DART

> Use this tool when you need to streamline access to South Korea's financial disclosure data, simplifying tasks such as financial statement analysis, insider trading signal detection, and accounting anomaly scoring. It distills 83 APIs into 15 specialized tools, providing analyst-level frameworks and XBRL parsing capabilities. Ideal for use cases requiring in-depth financial data analysis, such as investment research, financial modeling, and risk assessment.

Canonical page: https://skillsregistry.net/skills/chrisryugj-korean-dart  
JSON: https://api.skillsregistry.net/v1/skills/chrisryugj-korean-dart

## Description

A TypeScript MCP server wrapping South Korea's OpenDART financial disclosure API. Distills 83 APIs into 15 specialized tools covering financial statements, insider trading signals, accounting anomaly scoring, XBRL parsing, and shareholder data. Adds analyst-level frameworks including Buffett-style ROE tracking and insider buy/sell clustering. Available as an npm package.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chrisryugj-korean-dart)
- **Repository:** <https://github.com/chrisryugj/korean-dart-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": "chrisryugj-korean-dart"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chrisryugj-korean-dart` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chrisryugj-korean-dart/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
