About
Nysse bus tracking MCP server for LLM AI agents
README
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
Installing Nysse
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/tlaukkanen/nysse-mcp-serverFAQ
Is Nysse MCP free?
Yes, Nysse MCP is free — one-click install via Unyly at no cost.
Does Nysse need an API key?
No, Nysse runs without API keys or environment variables.
Is Nysse hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Nysse in Claude Desktop, Claude Code or Cursor?
Open Nysse on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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