Disclosure Compass
FreeNot checkedA Model Context Protocol server that exposes seven read-only tools for querying Korean public company disclosures from the OpenDART system, returning normalized
About
A Model Context Protocol server that exposes seven read-only tools for querying Korean public company disclosures from the OpenDART system, returning normalized JSON.
README
A focused Model Context Protocol server for public company disclosures from OpenDART (전자공시시스템 DART). Disclosure Compass (공시나침반) exposes ten read-only gateway tools over Streamable HTTP. Behind that compact public surface are 16 in-process specialist MCP servers with 82 OpenDART tools, distilled from the original implementation without its LLM, vector-search, or A2A runtime dependencies.
This project is independent open-source software and is not an official OpenDART product.
Tools
| Tool | Purpose |
|---|---|
get_company_profile |
Basic company and listing information |
search_disclosures |
Disclosure filings in a bounded date range |
get_financial_statement |
A bounded set of statement accounts |
get_dividend_information |
Current and prior-period dividend rows |
get_major_shareholders |
Major shareholder positions |
get_employee_statistics |
Employee counts, tenure, and pay statistics |
classify_disclosure_request |
Rank a Korean request across 16 disclosure domains and show their specialist tools |
list_disclosure_servers |
Inspect all 16 specialist servers and 82 tool names/endpoints |
call_disclosure_server_tool |
Execute an exact named tool on an exact specialist server |
route_and_call_disclosure |
Classify, select a specialist tool, and execute it in one call |
All tools are declared read-only, non-destructive, idempotent, and open-world. Every specialist result is capped at 50 rows. Binary filing and XBRL tools return bounded ZIP metadata rather than raw file contents. Upstream calls use strict connect/read timeouts and reject JSON responses larger than 2 MB or binary responses larger than 8 MB.
Disclosure request classification
classify_disclosure_request maps a non-empty Korean natural-language request
of up to 500 characters to the most relevant OpenDART disclosure domains.
top_k defaults to 3 and may be set from 1 through 16. The response contains
the original query, total_categories, and score-ranked routes. Each route
contains:
category: the stable domain IDlabel_ko: the Korean domain labelscore: the normalized relevance scorematched_terms: terms from the request that contributed to the routesupported_tools: data tools currently exposed by this server for the domainspecialist_tools: original tool names available on that domain's MCP server
This classifier performs deterministic term matching and does not itself call
OpenDART. Use route_and_call_disclosure to classify and execute in one request,
or use call_disclosure_server_tool for deterministic server/tool selection.
The 16 specialist servers are real FastMCP instances called through in-memory
FastMCP clients; they are not 16 separately deployed network services.
The classifier recognizes exactly these 16 domains:
| Category | Korean label |
|---|---|
disclosure_search |
공시검색/기업개황 |
shareholder_stock |
주주/주식 정보 |
executive_compensation |
임원/보수 정보 |
debt_securities |
채무증권 정보 |
audit_fund |
감사/자금 정보 |
financial_statement |
재무정보 |
equity_disclosure |
지분공시 |
capital_change |
증자감자 |
treasury_stock |
자기주식 |
convertible_securities |
전환증권 |
merger_division |
합병분할 |
business_transfer |
영업/자산 양수도 |
overseas_listing |
해외상장 |
equity_investment |
지분거래 |
corporate_issues |
기업이슈 |
securities_registration |
증권발행/등록정보 |
Example request:
{
"query": "연결 재무제표 매출액",
"top_k": 1
}
Example response:
{
"query": "연결 재무제표 매출액",
"routes": [
{
"category": "financial_statement",
"label_ko": "재무정보",
"score": 1.0,
"matched_terms": ["연결 재무제표", "재무제표", "매출액"],
"supported_tools": ["get_financial_statement"],
"specialist_tools": [
"dart_fnlttSinglAcnt",
"dart_fnlttMultiAcnt",
"dart_fnlttXbrl",
"dart_fnlttSinglAcntAll",
"dart_xbrlTaxonomy",
"dart_fnlttSinglIndx",
"dart_fnlttCmpnyIndx"
]
}
],
"total_categories": 16
}
To execute a routed request directly, pass a company identifier and any
period-specific fields to route_and_call_disclosure:
{
"query": "삼성전자 전환사채 발행 결정을 찾아줘",
"corp_code": "00126380",
"begin_date": "20250101",
"end_date": "20251231"
}
This selects the convertible_securities server and its
dart_cvbdIsDecsn tool. Callers that already know the exact target can instead
use call_disclosure_server_tool with server_id, tool_name, and an
arguments object. Accepted fields depend on the endpoint and include
corp_code or corp_name, business_year, report_code, begin_date,
end_date, corp_codes, receipt_number, fs_division, statement_type,
index_code, and max_items.
Requirements
- Python 3.11-3.13
- An OpenDART API key from https://opendart.fss.or.kr/
Run locally
python -m venv .venv
. .venv/bin/activate
pip install -e '.[dev]'
export DART_API_KEY='your-runtime-secret'
opendart-mcp
The MCP endpoint is http://localhost:8000/mcp and the health endpoint is
http://localhost:8000/health. Set PORT to override port 8000.
The corp_code arguments are OpenDART eight-digit company identifiers, not
six-digit stock codes. For example, OpenDART's public guide uses 00126380 for
Samsung Electronics.
Docker / PlayMCP deployment
The image is compatible with Linux AMD64 and runs as a non-root user.
docker build --platform linux/amd64 -t opendart-mcp .
docker run --rm -p 8000:8000 \
-e DART_API_KEY='your-runtime-secret' \
opendart-mcp
Configure the deployment secret as DART_API_KEY; never bake it into the image
or commit it. Register /mcp as the Streamable HTTP endpoint. The server uses
stateless HTTP so it does not require session affinity.
Development checks
ruff check .
pytest -q
python -m compileall -q src tests
Tests use local fixtures and never call OpenDART or require an API key.
Data and operational notes
- Results are public disclosure data, but users should confirm material facts in the original filing before making decisions.
- OpenDART may update data between otherwise identical calls.
- The server does not store query inputs or results.
- Upstream rate limits and maintenance windows still apply.
License
MIT. See LICENSE.
Install Disclosure Compass in Claude Desktop, Claude Code & Cursor
unyly install disclosure-compassInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add disclosure-compass -- uvx opendart-mcpFAQ
Is Disclosure Compass MCP free?
Yes, Disclosure Compass MCP is free — one-click install via Unyly at no cost.
Does Disclosure Compass need an API key?
No, Disclosure Compass runs without API keys or environment variables.
Is Disclosure Compass hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Disclosure Compass in Claude Desktop, Claude Code or Cursor?
Open Disclosure Compass on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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