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LisbonMetroAPI-Wrapper-MCP-Server

@PedroCorreiaaa

Overview

What is LisbonMetroAPI-Wrapper-MCP-Server?

It is a Model Context Protocol (MCP) server that wraps the Lisbon Metro API to provide metro route information through Claude Desktop. It is intended for users who want to ask Claude about metro trips in Lisbon.

How to use LisbonMetroAPI-Wrapper-MCP-Server?

Clone the repository, activate the virtual environment, install the requirements with pip install requirements.txt, then configure Claude Desktop by editing its claude_desktop_config.json file to point to the server script. Run python metro-lisboa.py to start the server. Once running, you can ask queries in Claude Desktop such as “Quero ir de metro do estádio da luz até à altice arena, qual a melhor rota?”

Key features of LisbonMetroAPI-Wrapper-MCP-Server

  • Provides metro route information from the Lisbon Metro API.
  • Integrates with Claude Desktop via the MCP protocol.
  • Supports natural language queries about metro trips.
  • Python-based, with simple installation and configuration.

Use cases of LisbonMetroAPI-Wrapper-MCP-Server

  • Asking Claude for the best metro route between two stations in Lisbon.
  • Incorporating Lisbon metro information into Claude-powered assistant workflows.

FAQ from LisbonMetroAPI-Wrapper-MCP-Server

How do I install the server?

Clone the repository, activate the provided virtual environment, and run pip install requirements.txt.

How do I configure it with Claude Desktop?

Edit claude_desktop_config.json (located in $env:AppData\Claude\) to add a new entry under mcpServers with the command pointing to .venv/Scripts/python.exe and the script metro-lisboa.py as arguments.

What kind of queries can I ask?

You can ask questions about metro routes in natural language, for example: “Quero ir de metro do estádio da luz até à altice arena, qual a melhor rota?”

What dependencies are required?

The exact dependencies are listed in requirements.txt and are installed via pip.

How do I run the server?

Run python metro-lisboa.py from the project directory.

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