# kreports-dart-mcp

> kreports-dart-mcp — capitalparser-kreports-dart-mcp. Use this tool when you need to automate Korean financial data analysis and connect DART filings to your system via MCP protocol. It solves problems such as manual data lookups and provides outputs including financial snapshots, going concern scoring, and industry benchmarking through its 8 integrated tools. Use it when working with Korean financial intelligence and SEC filings to streamline your workflow and gain valuable insights.

Canonical page: https://skillsregistry.net/skills/capitalparser-kreports-dart-mcp  
JSON: https://api.skillsregistry.net/v1/skills/capitalparser-kreports-dart-mcp

## Description

Korean financial intelligence MCP server built by a Big4 auditor. Connects DART (Korean SEC) filings to Claude via MCP protocol. 8 tools: financial snapshots, going concern scoring, restatement detection, accounting policy extraction, auditor history, subsidiary audit matrix, industry benchmarking. No more manual DART lookups.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/capitalparser/kreports-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": "capitalparser-kreports-dart-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/capitalparser-kreports-dart-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/capitalparser-kreports-dart-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