I built an open MCP server for German employment law, every number with its source

Описание и применение

Создан открытый MCP‑сервер для немецкого трудового права, выдающий проверенные числовые ответы с источниками.

Задача

HR professionals need accurate, up‑to‑date numeric answers for German employment law but LLMs provide unverified numbers.

Результат

The MCP server supplies precise, source‑verified numeric answers for German employment law, reducing compliance risk and freeing HR staff from manual calculations.

Рабочий процесс

• 1. Deploy the MCP server (cloud, Docker, local).
• 2. Connect the assistant (Claude, ChatGPT, Gemini) to the server via custom connector.
• 3. Ask a legal question in natural language.
• 4. Assistant calls the relevant MCP tool (e.g., kuendigungsfrist_rechnen).
• 5. Tool returns structured JSON with result, calculation steps, sources, and disclaimer.
• 6. Assistant presents answer to user.
• 7. If value not confirmed, tool indicates status and check date.

Доказательства

People now ask these questions in Claude or ChatGPT. The text is usually fine. The numbers are the problem: a date or an amount that comes from model memory, with no way to check it.

Источник

An MCP server is a set of tools an assistant can call instead of answering from memory.

Источник

Every answer has the same shape: ergebnis, rechenweg, quellen, fallen, naechster_schritt and hinweis.

Источник

The server only calculates. It never calls a model. Your assistant writes the text, the numbers come from the tool.

Источник

The remote server is https://hr.lintelly.com/mcp (Streamable HTTP). There is no account, no key and no sign-in.

Источник