mcp-server-fss-dart
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DART_API_KEY | Yes | Your 40-digit Open DART API key from FSS |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_corporate_detailsB | Look up a Korean corporate name or 6-digit stock ticker code to find its DART corp_code and basic profile. |
| get_financial_anomaliesB | Analyze key financial metrics (Debt ratio, current ratio, operating profit trend) and scan for potential accounting anomalies or distressed patterns for a given year (e.g. 2025). |
| get_footnote_sectionB | Query the corporate audit footnotes and extract relevant sections matching specific risk keywords (e.g. '소송', '보증', '특수관계자', '담보') to identify hidden liabilities. |
| get_stock_chartA | Fetch historical stock price chart information and simple moving averages (SMA) from Yahoo Finance to correlate financial anomalies with market movements. Use ticker format: '035720.KS' (KOSPI) or '060720.KQ' (KOSDAQ). If suffix is missing, the tool will try both formats automatically. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool targets a clearly distinct aspect: company lookup, financial anomaly analysis, footnote extraction, and stock chart data. No overlapping functionality.
All tool names follow a consistent 'get_' prefix and snake_case pattern, making them predictable and easy to distinguish.
Four tools is well-scoped for a specialized financial analysis server, covering key areas without being too sparse or bloated.
The set covers the core workflow from company details to anomaly detection, footnote mining, and market correlation. Minor gaps exist (e.g., no direct financial statement extraction) but the surface is largely complete for its stated purpose.