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Singapore LTA MCP Server

@arjunkmrm

MCP server for Singapore's Land Transport Authority (LTA) DataMall API

Overview

What is Singapore LTA MCP Server?

An MCP server for Singapore's Land Transport Authority (LTA) DataMall API that provides real-time access to transportation information including bus arrivals, traffic conditions, and train service updates.

How to use Singapore LTA MCP Server?

Install automatically via Smithery or manually configure in claude_desktop_config.json. Requires an LTA DataMall API key set as the LTA_API_KEY environment variable. Run with npx -y arjunkmrm/mcp-sg-lta.

Key features of Singapore LTA MCP Server

  • Real-time bus arrival data for any bus stop
  • Live MRT/LRT station crowding levels
  • Train service alerts and disruptions
  • Carpark availability for HDB, LTA, and URA carparks
  • Expressway travel time estimates
  • Current road incidents and traffic conditions

Use cases of Singapore LTA MCP Server

  • Checking next bus arrival times for a specific stop
  • Monitoring MRT/LRT crowding before a commute
  • Getting real-time parking lot availability
  • Staying informed about train disruptions and road incidents

FAQ from Singapore LTA MCP Server

What does Singapore LTA MCP Server require to run?

It requires an LTA DataMall API key (set as LTA_API_KEY environment variable) and Node.js/npx installed.

How do I get an LTA DataMall API key?

Register for an account on datamall.lta.gov.sg, subscribe to the API services, and obtain your API key from the account dashboard.

What transportation data does it provide?

It provides bus arrivals, MRT/LRT station crowding, train alerts, carpark availability, expressway travel times, and traffic incidents — all updated in real time (from every 1 to 10 minutes depending on data type).

Can I filter bus arrivals by service number?

Yes, the bus_arrival tool accepts an optional serviceNo parameter to filter results for a specific bus service.

Is there any forecast data available?

Yes, the station_crowd_forecast tool provides forecasted MRT/LRT station crowdedness levels in 30-minute intervals.

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