# Disclosure Compass

> Disclosure Compass — mlopsengineer-opendart-mcp. Use this tool when you need to query and analyze Korean public company disclosures in a standardized format. The Disclosure Compass provides read-only access to seven tools that retrieve data from the OpenDART system, solving problems related to financial data analysis and compliance. It accepts queries and returns normalized JSON outputs, making it ideal for use cases that require structured and easily parseable financial data.

Canonical page: https://skillsregistry.net/skills/mlopsengineer-opendart-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mlopsengineer-opendart-mcp

## Description

A Model Context Protocol server that exposes seven read-only tools for querying Korean public company disclosures from the OpenDART system, returning normalized JSON.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/on8b3cpj06)
- **Repository:** <https://github.com/MLOpsEngineer/opendart-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": "mlopsengineer-opendart-mcp"
    }
  }
}
```

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