open-trading-api: Korea Investment & Securities Open API Github

by koreainvestment · MCP Server · ★ 1.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install open-trading-api

git clone https://github.com/koreainvestment/open-trading-api

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 58/100

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. Full audit →

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.

ai-tradingapi-samplesautotradechatgptclaudefinanceinvestmentkoreainvestmentllmmcp

Quick Facts

Stars1,657
Forks835
LanguagePython
CategoryMCP Server
Quality Score58/100
Open Issues26
Last Updated2026-10-27
Created2022-04-08
Platformsbrowser, claude-code, mcp, python
Est. Tokens~16k

About open-trading-api

[당사에서 제공하는 샘플코드에 대한 유의사항] 샘플 코드는 한국투자증권 Open API(KIS Developers)를 연동하는 예시입니다. 고객님의 개발 부담을 줄이고자 참고용으로 제공되고 있습니다. 샘플 코드는 별도의 공지 없이 지속적으로 업데이트될 수 있습니다. 샘플 코드를 활용하여 제작한 고객님의 프로그램으로 인한 손해에 대해서는 당사에서 책임지지 않습니다.

Compatible Skills

These tools work well together with open-trading-api for enhanced workflows:

  • alpaca-mcp-server — semantic(0.48)+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • ai-hedge-fund-crypto — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • composer-trade-mcp — semantic(0.48)+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • metatrader-mcp-server — semantic(0.28)+rare_topics+same_lang+similar_pop+shared_platform (53%)

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How this security grade is produced

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:

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