mcp-taiwan-legal-db — MCP Server by lawchat-oss

by lawchat-oss · MCP Server · ★ 135

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About mcp-taiwan-legal-db

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

claudejudiciallegallegal-techmcpmodel-context-protocolregulationtaiwan

Quick Facts

Stars135
Forks32
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65.6918449239429/100
Last Updated2026-06-05
Created2026-04-10
Platformsclaude-code, mcp, python
Est. Tokens~296k

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Frequently Asked Questions

What is mcp-taiwan-legal-db?

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 135 GitHub stars.

What programming language is mcp-taiwan-legal-db written in?

mcp-taiwan-legal-db is primarily written in Python. It covers topics such as claude, judicial, legal.

How do I install or use mcp-taiwan-legal-db?

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 135 stars and 32 forks, indicating an active community.

What license does mcp-taiwan-legal-db use?

mcp-taiwan-legal-db is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-taiwan-legal-db?

The top alternatives to mcp-taiwan-legal-db on Agent Skills Hub include skills, pasal, claude-legal-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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