by eddmpython · MCP Server · ★ 227
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
claude mcp add dartlab -- dartlab mcp
codex mcp add dartlab -- dartlab mcp
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 227 |
| Forks | 47 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 59/100 |
| Open Issues | 3 |
| Last Updated | 2026-11-07 |
| Created | 2026-03-06 |
| Platforms | mcp, python |
| Est. Tokens | ~23k |
DartLab 종목코드 하나. 기업의 전체 이야기. Korean DART + US SEC EDGAR 공시를 한 줄의 Python 으로 읽고 비교한다. 문서 · <a href="https://eddmpython.github
These tools work well together with dartlab for enhanced workflows:
Looking for a dartlab alternative? If you're comparing dartlab with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
OpenDART 전자공시MCP | 83개 API → 15 MCP 도구. 공시·재무·지분·XBRL + 버핏급 애널리스트 프레임(내부자 시그널·회계 리스크·퀄리티 체크리스트) + HWP/PDF 첨부 마
Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting
A Model Context Protocol (MCP) server for stock traders
Self-hosted, open-source financial data MCP server for AI agents — SEC filings, XBRL financials, 13F holdings,
ASL · 本地可日更的 A 股研究湖 · 42 数据集 · MCP 供数 AI agent · 零 token 零注册 | Local A-share research lake — history for human
Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: