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11 days ago
glama

dart-risk-mcp

Analyzes Korean DART (Financial Supervisory Service) public disclosures to detect unfair trading risk signals, enabling users to query and evaluate corporate risk through natural language.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 3 credentials: NOTION_TOKEN, DART_API_KEY, MAIL_APP_PASSWORD
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretNOTION_TOKEN
configDB_KNOWN_ACTORS
configDART_KNOWN_ACTORS_PATH
configDART_WATCHLIST_PATH
🔐 secretDART_API_KEY"env": { "": "발급받은_키" }
configPORT
configSIGHTINGS_PATH
configDIAG_SHOW
configMAIL_USER
🔐 secretMAIL_APP_PASSWORD
configMAIL_TO
configNOTION_PARENT_PAGE_ID
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/anboyu-alt-dart-risk-mcp-1v0mxl)](https://m8ven.ai/mcp/anboyu-alt-dart-risk-mcp-1v0mxl)
commit: 9167410a633d4b8c7763475eda51663ff41bef86
code hash: 6c8ebaa47c4c3cacaef2744f109c5c82d2571b0d405c79d2e1d0d591bb9f299b
verified: 7/20/2026, 9:24:48 AM
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