# dart-notes-mcp

> Use this tool when you need to precisely search and analyze financial statement footnotes from Korean DART electronic disclosure. It solves problems of manual searching and filtering by providing a rule-based topic matching system, allowing for efficient filtering by market, industry, and topic. The tool takes in financial statement footnotes as input and outputs highly relevant results, making it ideal for financial analysis and research tasks.

Canonical page: https://skillsregistry.net/skills/kim-go-chon-dart-notes-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kim-go-chon-dart-notes-mcp

## Description

Enables precise search of financial statement footnotes from Korean DART electronic disclosure, filtering by market, industry, and topic with high precision through rule-based topic matching.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lk0228rfxo)
- **Repository:** <https://github.com/kim-go-chon/dart-notes-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": "kim-go-chon-dart-notes-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kim-go-chon-dart-notes-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kim-go-chon-dart-notes-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