Tampere Bus MCP Server

What is Tampere Bus MCP Server?

A Model Context Protocol (MCP) server that provides tools for AI agents to access real-time bus traffic information for Tampere, Finland's public transport system. It enables AI assistants to answer questions about bus stop locations and upcoming arrivals.

How to use Tampere Bus MCP Server?

Install the npm package globally or run it via npx. Add a configuration entry in your MCP client (e.g., VS Code) with the command npx -y nysse-mcp-server and set the WALTTI_CLIENT_ID and WALTTI_CLIENT_SECRET environment variables with your Waltti API credentials. Alternatively, build and run the server with the inspector using npm run inspector.

Key features of Tampere Bus MCP Server

• Search for bus stops by name in the Tampere region.
• Get real-time information about upcoming bus arrivals at specific stops.
• Access to the complete Tampere region bus stop database.
• Designed for integration with AI agents via the MCP protocol.
• Simple setup as an NPX-based MCP server in VS Code.

Use cases of Tampere Bus MCP Server

• Answering "When is the next bus at Tuotekatu bus stop?" in a chat interface.
• Providing real-time transit schedules for travel planning applications.
• Building AI-powered assistants that help users navigate Tampere's public transport.
• Automating arrival time queries for workflow tools or smart home systems.

FAQ from Tampere Bus MCP Server

What does Tampere Bus MCP Server do?

It gives AI agents the ability to search bus stops and fetch real-time bus arrival data for Tampere's public transport network.

What are the prerequisites?

Node.js 18 or higher is required. Access to the Waltti GTFS-RT API is optional for development; you need a client ID and secret for full functionality.

How do I set it up in VS Code?

Add a JSON entry under mcpServers with "command": "npx", "args": ["-y", "nysse-mcp-server"], and set the environment variables WALTTI_CLIENT_ID and WALTTI_CLIENT_SECRET.

What tools does the server provide?

The server offers three tools: search for bus stops by name, get real-time arrival data for a specific stop, and access the full Tampere bus stop database.