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Singapore LTA MCP Server

MCP Server

Real‑time Singapore transport data at your fingertips

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Updated 18 days ago

About

Provides instant access to Singapore Land Transport Authority APIs, delivering live bus arrivals, train alerts, crowding levels, carpark availability, traffic incidents and travel times for developers and commuters.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Singapore LTA MCP Server bridges the gap between AI assistants and real‑time public transport data in Singapore. By exposing the Land Transport Authority’s DataMall API as a set of MCP tools, it gives developers an effortless way to query bus arrivals, train service alerts, parking availability and traffic conditions directly from Claude or any MCP‑compatible client. This eliminates the need to manage API keys, rate limits, and data parsing logic in every project.

What makes this server valuable is its consolidated access to multiple, high‑frequency data streams that are otherwise scattered across separate endpoints. Developers can request bus arrival times for a specific stop, check crowding levels at an MRT station, or pull the latest traffic incidents with a single tool call. The server handles authentication, request formatting and response mapping behind the scenes, allowing AI assistants to focus on natural‑language interaction rather than boilerplate networking code.

Key features include:

  • Real‑time bus arrival () with optional service filtering, ideal for route planning and ETA predictions.
  • MRT/LRT crowding () and crowd forecast (), providing up‑to‑date and predictive station occupancy data every 10–30 minutes.
  • Train alerts () that surface disruptions, shuttle services and schedule changes instantly.
  • Parking availability () for HDB, LTA and URA lots, updated every minute to aid commuters in finding free spaces.
  • Travel time estimates () on expressway segments refreshed every five minutes, useful for route optimization.
  • Traffic incidents () covering accidents, roadworks and congestion, updated every two minutes.

These tools are designed for real‑world scenarios such as building a commuter chatbot that recommends the fastest route, creating dashboards for city planners to monitor crowding trends, or integrating parking availability into a smart‑home assistant. Because the server exposes all data through MCP, it can be plugged into any workflow that supports tool calls—whether a conversational AI, an automated scheduler, or a data‑analysis pipeline.

Unique advantages of the LTA MCP Server include its single‑point configuration (just one API key and a concise JSON snippet), its high update cadence across all datasets, and the fact that it abstracts away LTA’s complex authentication mechanisms. For developers building AI‑powered transportation solutions, this server offers a reliable, low‑overhead gateway to Singapore’s most comprehensive public transport data.