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@iflow-mcp/berlin-transport-mcp

v0.0.2

Published

An MCP server that provides access to Berlin's public transport data through the VBB (Verkehrsverbund Berlin-Brandenburg) API. This server wraps the [v6.vbb.transport.rest](https://v6.vbb.transport.rest/) API.

Readme

Berlin Transport MCP Server

An MCP server that provides access to Berlin's public transport data through the VBB (Verkehrsverbund Berlin-Brandenburg) API. This server wraps the v6.vbb.transport.rest API.

Available Tools

1. search_stops

Search for public transport stops in Berlin-Brandenburg.

Parameters:

  • query (string): Search query for stops

2. get_departures

Get upcoming departures for a specific stop.

Parameters:

  • stop_id (string): Stop ID to get departures for
  • results (number, optional): Number of results to return

3. get_journeys

Get journey options from one stop to another.

Parameters:

  • from (string): Origin stop ID
  • to (string): Destination stop ID
  • departure (string, optional): Departure time (e.g. "tomorrow 2pm")
  • results (number, optional): Number of results to return

Connect Claude Desktop to your MCP server

You can also connect to your remote MCP server from local MCP clients, by using the mcp-remote proxy.

To connect to your MCP server from Claude Desktop, follow Anthropic's Quickstart and within Claude Desktop go to Settings > Developer > Edit Config.

Update with this configuration:

{
  "mcpServers": {
    "calculator": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://berlin-transport.mcp-tools.app/sse"  // or if local http://localhost:8787/sse
      ]
    }
  }
}

Restart Claude and you should see the tools become available.

API Documentation

For more details about the underlying API, visit v6.vbb.transport.rest/getting-started.html.

Get started:

Deploy to Workers

This will deploy your MCP server to a URL like: remote-mcp-server-authless.<your-account>.workers.dev/sse

Alternatively, you can use the command line below to get the remote MCP Server created on your local machine:

npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless

Customizing your MCP Server

To add your own tools to the MCP server, define each tool inside the init() method of src/index.ts using this.server.tool(...).

Connect to Cloudflare AI Playground

You can connect to your MCP server from the Cloudflare AI Playground, which is a remote MCP client:

  1. Go to https://playground.ai.cloudflare.com/
  2. Enter your deployed MCP server URL (remote-mcp-server-authless.<your-account>.workers.dev/sse)
  3. You can now use your MCP tools directly from the playground!