Singapore Bus MCP Server
A Model Context Protocol (MCP) server that provides real-time Singapore bus information using the LTA DataMall API.
Features
This MCP server exposes 4 tools:
| Tool | Description | |------|-------------| | get_bus_arrivals | Get real-time bus arrival times for a specific bus stop | | get_bus_routes | Get the full route information for a specific bus service | | search_bus_stops | Search for bus stops by name, road name, or landmark | | get_bus_stop_info | Get detailed information about a specific bus stop |
Deployment to Vercel
Option 1: Deploy via GitHub (Recommended)
- Push to GitHub:
git init
git add .
git commit -m "Initial commit"
git remote add origin https://github.com/YOUR_USERNAME/sg-bus-mcp-server.git
git push -u origin main- Connect to Vercel:
- Go to vercel.com
- Click "Add New Project"
- Import your GitHub repository
- Add the environment variable:
- Name:
LTA_DATAMALL_KEY - Value: Your LTA DataMall API key
- Click "Deploy"
Option 2: Deploy via Vercel CLI
- Install Vercel CLI:
npm i -g vercel- Deploy:
vercel- Add environment variable:
vercel env add LTA_DATAMALL_KEYLocal Development
- Install dependencies:
npm install- Set up environment variables:
cp .env.example .env.local
# Edit .env.local with your API key- Run the development server:
npm run dev- Test with MCP Inspector:
npx @modelcontextprotocol/inspector@latest http://localhost:3000Connecting to Your MCP Server
After deployment, add this to your MCP client configuration (e.g., Claude Desktop, Cursor):
{
"mcpServers": {
"sg-bus": {
"url": "https://your-deployment-url.vercel.app/api/mcp"
}
}
}Example Usage
Once connected, you can ask your AI assistant questions like:
- "What buses are arriving at bus stop 83139?"
- "Search for bus stops near Orchard"
- "What's the route for bus 15?"
- "Tell me about bus stop 01012"
Data Source
Bus data is provided by the LTA DataMall API.
License
MIT
