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.
@tlaukkanen
基本情報
Nysse bus tracking MCP server for LLM AI agents
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
}
}
}
}Find the next buses arriving at a specific stop in Tampere, Finland
Get information (location, license plate, speed, bearing, id) about a specific bus
Search for bus stops in Tampere, Finland by name
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.
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.
It gives AI agents the ability to search bus stops and fetch real-time bus arrival data for Tampere's public transport network.
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.
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`.
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.
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