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

说明与用途

为德国雇佣法打造的开放MCP服务器，提供带来源的核实数字答案，降低HR合规风险。

问题

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

结果

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

工作流

• 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.

证据

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.

来源

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

来源

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

来源

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

来源

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

来源