No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by JungHoonGhae · MCP Server · ★ 510
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is tossinvest-cli safe to install? View the security audit →
한국어 · English tossinvest-cli 토스증권에 연결하는 가장 유연한 방법. CLI 로, MCP 서버로, 어떤 AI 에이전트로든 — 공식 API는 물론 웹앱에만 있던 기능까지 하나로. Claude Code · Codex · Gemini · Cursor · GitHub Copilot — 어떤 AI 에이전트로든 tossctl 하나로 토스증권 계좌·시세·거래를 다룹니다. MCP 서버(tossctl mcp)로 붙이거나 터미널에서 직접, 공식 키 없이 바로 또는 연결 시 자동 라우팅. 수급 · 시장지수 · AI 시그널 · 조건검색 · 관심종목 관리 · 거래내역 ledger · 실시간 푸시 · 원화 소수점 주문 · dry-run preview 등 WTS 전용 기능 21가지 — 공식 Open API 지원 범위도 물론 100% 포함합니다. 전체 비교표 ↓ The most flexible way to connect Toss Securities — via CLI, via MCP, from any AI agent. 100% of the official Open API, plus 21 features only the web app had. <img src="docs/assets/badges/output.svg" height="44" alt="Ou
| Stars | 510 |
| Forks | 83 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.4144172807142/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-28 |
| Created | 2026-03-11 |
| Platforms | cli, go, mcp |
| Est. Tokens | ~24k |
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tossinvest-cli is 공식 API에 없는 30+ 기능까지, 터미널과 AI에서 쓰세요. 토스증권 비공식 CLI·MCP.. It is categorized as a MCP Server with 510 GitHub stars.
tossinvest-cli is primarily written in Go. It covers topics such as ai-agents, cli, go.
You can find installation instructions and usage details in the tossinvest-cli GitHub repository at github.com/JungHoonGhae/tossinvest-cli. The project has 510 stars and 83 forks, indicating an active community.
tossinvest-cli is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tossinvest-cli on Agent Skills Hub include ai-trader, roam-code, mcp-memory-service. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: