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Nysse Mcp Server

@tlaukkanenon a year ago
1 MIT
FreeCommunity
AI Systems
Nysse bus tracking MCP server for LLM AI agents

Overview

What is Nysse Mcp Server

nysse-mcp-server is a Model Context Protocol (MCP) server designed for AI agents to access real-time bus traffic information for Tampere’s public transport system.

Use cases

Use cases include AI assistants answering queries about bus schedules, travel planning applications providing real-time updates, and integration into smart city solutions for public transport management.

How to use

To use nysse-mcp-server, set it up in your development environment by adding it to your MCP servers configuration and running it with the appropriate credentials for the Waltti GTFS-RT API.

Key features

Key features include searching for bus stops by name, retrieving real-time information about upcoming bus arrivals at specific stops, and access to a complete database of bus stops in the Tampere region.

Where to use

nysse-mcp-server can be used in applications related to public transport systems, AI assistants, and any service that requires real-time bus tracking information.

Content

Tampere Bus MCP Server

This is a Model Context Protocol (MCP) server that provides tools for AI agents to access bus traffic information for Tampere’s public transport system. This enables AI assistants to answer questions like “When is the next bus stopping at Tuotekatu bus stop?”

Features

  • Search for bus stops by name
  • Get real-time information about upcoming bus arrivals at specific stops
  • Access to complete Tampere region bus stop database

Prerequisites

  • Node.js 18 or higher
  • Access credentials for the Waltti GTFS-RT API (optional for development)

Setup for VS Code as NPX MCP Server

Add to your MCP servers:

{
  "mcpServers": {
    "nysse-bus-tracker": {
      "command": "npx",
      "args": [
        "-y",
        "nysse-mcp-server"
      ],
      "env": {
        "WALTTI_CLIENT_ID": "YOUR_CLIENT_ID_HERE",
        "WALTTI_CLIENT_SECRET": "YOUR_CLIENT_SECRET_HERE"
      }
    }
  }
}

Running the Server with inspector

Add the WALTTI credentials to package.json command line or to your environment variables and build and run with inspector task:

npm run inspector

Available Tools

The server provides the following MCP tools for AI agents:

License

ISC

Tools

No tools

Comments

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