SG Data MCP

@vdineshk

About SG Data MCP

Real-time Singapore government data for AI agents. Weather forecasts, air quality (PSI/PM2.5), HDB carpark availability, and taxi supply. Free, no API key required.

#singapore #weather #transport #government #data #asia

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "sg-data-mcp": {
      "url": "https://sg-data-mcp.sgdata.workers.dev/mcp"
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is SG Data MCP?

SG Data MCP is a real-time Model Context Protocol server that provides weather, air quality, transport, and carpark data from the Singapore government for AI agents.

How to use SG Data MCP?

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Key features of SG Data MCP

Real-time weather data from Singapore government sources
Real-time air quality data from Singapore government sources
Real-time transport data from Singapore government sources
Real-time carpark data from Singapore government sources

Use cases of SG Data MCP

Build an AI assistant that answers current weather and air quality queries for Singapore
Create a travel agent that checks real-time transport and carpark availability
Integrate live government data into a smart city dashboard

FAQ from SG Data MCP

What data does SG Data MCP provide?

It provides real-time Singapore government data covering weather, air quality, transport, and carpark information.

Who is this server intended for?

It is intended for AI agents that need to access live Singapore government datasets.

Is authentication or API keys required?

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What transports does SG Data MCP support?

—

Are there any known limitations or rate limits?

—

Frequently asked questions

What data does SG Data MCP provide?

It provides real-time Singapore government data covering weather, air quality, transport, and carpark information.

Who is this server intended for?

It is intended for AI agents that need to access live Singapore government datasets.

Comments

Basic information

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