Flagged: disables SSL verification. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by lawchat-oss · MCP Server · ★ 174
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-taiwan-legal-db safe to install? View the security audit →
mcp-taiwan-legal-db English · 繁體中文 台灣法規、裁判書、憲法法庭裁判 — MCP Server。 讓任何 MCP 相容的 AI 助手直接存取台灣公開法律資料： 司法院裁判書 — judgment.judicial.gov.tw（全文搜尋 + 取得） 全國法規資料庫 — law.moj.gov.tw（11,700+ 部法規） 憲法法庭 — cons.judicial.gov.tw（868 筆大法官解釋 + 憲判字，含理由書全文，離線快取） 以 Python 搭配 FastMCP 寫成。純工具 wrapper 只打上述三個台灣官方來源，不會發送任何其他網路請求。 特色 ⚡ 安裝（PyPI，推薦） Debian / Ubuntu / WSL 注意：系統 Python 受 PEP 668 保護，直接 會被擋。請改用： - （推薦，自動建隔離 venv，CLI tool 標準裝法） - 或 裝完後 entry point 會在 PATH 上。接到 Claude Code（任何專案都能用）： 接著 重啟連線、Claude 就會在自然語言查詢時自動用 8 個 MCP tool。 選擇性 — F5 WAF fallback： 開發環境設置 下面是 clone 來修程式 / 跑測試的流程： bash Clone repo git clone https://github.com/lawchat-oss/mcp-taiwan-legal-db.git cd mcp-t
| Stars | 174 |
| Forks | 45 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.6918449239429/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-24 |
| Created | 2026-04-10 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
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mcp-taiwan-legal-db is 台灣司法院判決 + 全國法規資料庫 MCP server · Query Taiwan legal data from any MCP AI agent. It is categorized as a MCP Server with 174 GitHub stars.
mcp-taiwan-legal-db is primarily written in Python. It covers topics such as claude, judicial, legal.
You can find installation instructions and usage details in the mcp-taiwan-legal-db GitHub repository at github.com/lawchat-oss/mcp-taiwan-legal-db. The project has 174 stars and 45 forks, indicating an active community.
mcp-taiwan-legal-db is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-taiwan-legal-db on Agent Skills Hub include tw-legal-rag, reddit-mcp-buddy, maverick-mcp. 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.
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