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Deutsche Bahn MCP Server

@PaulvonBerg

基本信息

分类

数据库

传输方式

stdio

作者

PaulvonBerg

提交者

Paul von Berg

关于 Deutsche Bahn MCP Server

A comprehensive Model Context Protocol (MCP) server that provides unified access to Deutsche Bahn (DB) and German mobility APIs. Built with Python, FastAPI, and FastMCP for seamless integration with Claude Desktop and other MCP clients.

#deutsche-bahn#transport#mobility#infrastructure#mobilit-t

Deutsche Bahn MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "deutschebahn": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://db-mcp.datamonkey.tech/mcp",
        "--transport",
        "http-only"
      ]
    }
  }
}

Deutsche Bahn MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Deutsche Bahn MCP Server?

The Deutsche Bahn MCP Server provides access to comprehensive Deutsche Bahn railway data—stations, timetables, real-time disruptions, and parking—through the Model Context Protocol (MCP). It is designed for developers and AI agents that need structured, up‑to‑date railway information.

How to use Deutsche Bahn MCP Server?

Deploy the server (recommended on Google Cloud Run) and connect your MCP client. Full setup and configuration instructions are available in the rich documentation provided with the server.

Key features of Deutsche Bahn MCP Server

  • Complete railway data: stations, timetables, disruptions, parking
  • Full MCP protocol support (tools, prompts, resources)
  • Production ready: security headers, rate limiting, input validation
  • Modular, maintainable codebase architecture
  • Cloud‑native design for Google Cloud Run deployment

Use cases of Deutsche Bahn MCP Server

  • Query real‑time train schedules and platform changes
  • Retrieve current disruption and parking information for a station
  • Automate travel planning and route checks in AI assistants
  • Integrate Deutsche Bahn data into custom applications via MCP

常见问题

1

What railway data does the server provide?

It offers stations, timetables, real‑time disruptions, and parking information.

2

Does it support the MCP protocol?

Yes, it provides full support for tools, prompts, and resources via the Model Context Protocol.

3

Where can I deploy this server?

It is designed for Google Cloud Run, with a cloud‑native architecture that simplifies deployment.

4

Is it production ready?

Yes, it includes security headers, rate limiting, and input validation for safe use in production.

5

How is the codebase structured?

It follows a modular architecture with a clean, maintainable codebase.

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