hithereiamaliff/mcp-malaysiatransit
If you are the rightful owner of mcp-malaysiatransit and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The Malaysia Transit MCP server provides real-time public transit information across multiple cities in Malaysia, enhancing the commuting experience with live updates and predictions.
Malaysia Transit MCP
MCP (Model Context Protocol) server for Malaysia's public transit system, providing real-time bus and train information across 10+ cities in Malaysia.
Data Source: Malaysia Transit Middleware
Table of Contents
- Features
- Architecture
- Quick Start
- Installation
- Configuration
- Available Tools
- Usage Examples
- AI Integration Guide
- Supported Service Areas
- Deployment
- Troubleshooting
- Contributing
Features
- 12 Operational Service Areas across Malaysia
- Klang Valley (Rapid Rail KL, Rapid Bus KL, MRT Feeder)
- Penang (Rapid Penang)
- Kuantan (Rapid Kuantan)
- Ipoh, Seremban, Kangar, Alor Setar, Kota Bharu, Kuala Terengganu, Melaka, Johor, Kuching (BAS.MY)
- Real-time Vehicle Tracking - Live positions of buses and trains
- Stop Search & Information - Find stops by name or location
- Route Discovery - Browse available routes with destinations
- Arrival Predictions - Get real-time arrival times at stops (shape-based, 40-60% more accurate)
- Schedule Information - Get departure times, route schedules, and operating status
- Fare Calculator - Calculate bus fares for BAS.MY and Rapid Penang routes
- Multi-Modal Support - Both bus and rail services
- Provider Status Monitoring - Check operational status of transit providers
- Location Detection - Automatically detect service areas using geocoding
- 🆕 API Analytics - View API usage statistics, endpoint metrics, and client tracking
- 🆕 Client Identification - MCP identifies itself to middleware for analytics tracking
Architecture
This MCP server acts as a bridge between AI assistants and the Malaysia Transit Middleware API:
AI Assistant (Claude, GPT, etc.)
↓
Malaysia Transit MCP Server (identifies as "Malaysia-Transit-MCP")
↓
Malaysia Transit Middleware API (tracks usage via X-App-Name header)
↓
Malaysia Open Data Portal (GTFS Static & Realtime)
Client Identification: This MCP automatically sends an X-App-Name: Malaysia-Transit-MCP header with every API request, allowing the middleware to track usage from this MCP separately in its analytics dashboard.
Quick Start
Local Testing with Smithery Playground
Step 1: Start Your Middleware
First, ensure your Malaysia Transit Middleware is running:
cd path/to/malaysiatransit-middleware
npm run dev
The middleware should be running on http://localhost:3000.
Step 2: Configure Environment
Create a .env file in the MCP project root:
cd malaysiatransit-mcp
cp .env.sample .env
Edit .env:
MIDDLEWARE_URL=http://localhost:3000
GOOGLE_MAPS_API_KEY=your_api_key_here # Optional, for location detection
Step 3: Start Smithery Dev Server
npm install
npm run dev
This will:
- Build your MCP server
- Start the Smithery CLI in development mode
- Open the Smithery playground in your browser
Step 4: Test in Smithery Playground
In the Smithery playground interface:
-
Test the hello tool:
Call: helloExpected: Returns server info and middleware URL
-
List service areas:
Call: list_service_areasExpected: Returns all available transit areas
-
Search for stops:
Call: search_stops Parameters: area: "penang" query: "Komtar"Expected: Returns matching stops
-
Get real-time arrivals:
Call: get_stop_arrivals Parameters: area: "penang" stopId: "<stop_id_from_search>"Expected: Returns upcoming bus arrivals
Installation
npm install
Configuration
Environment Variables
The MCP server uses environment variables for configuration. When deployed to Smithery, set these in the deployment settings:
-
MIDDLEWARE_URL(required): Malaysia Transit Middleware API URL- Local:
http://localhost:3000 - Production: Your deployed middleware URL (e.g.,
https://malaysiatransit.techmavie.digital)
- Local:
-
GOOGLE_MAPS_API_KEY(optional): Google Maps API key for location detection- If not provided, falls back to Nominatim (free but less accurate)
- Get your API key from Google Cloud Console
Development
To run the MCP server in development mode:
npm run dev
Build
To build the MCP server for deployment:
npm run build
Available Tools
Service Area Discovery
list_service_areas
List all available transit areas in Malaysia.
Parameters: None
Returns: List of service areas with their IDs, names, and capabilities.
Example:
const areas = await tools.list_service_areas();
get_area_info
Get detailed information about a specific area.
Parameters:
areaId(string): Service area ID (e.g., "penang", "klang-valley")
Example:
const info = await tools.get_area_info({ areaId: "penang" });
Location Detection
detect_location_area ⭐
Automatically detect which transit service area a location belongs to using geocoding.
Parameters:
location(string): Location name or place (e.g., "KTM Alor Setar", "Komtar", "KLCC")
Returns: Detected area ID, confidence level, and location details.
Example:
const result = await tools.detect_location_area({ location: "KTM Alor Setar" });
// Returns: { area: "alor-setar", confidence: "high" }
Stop Information
search_stops
Search for stops by name. Use detect_location_area first if unsure about the area.
Parameters:
area(string): Service area IDquery(string): Search query (e.g., "Komtar", "KLCC")
Example:
const stops = await tools.search_stops({
area: "penang",
query: "Komtar"
});
get_stop_details
Get detailed information about a stop.
Parameters:
area(string): Service area IDstopId(string): Stop ID from search results
get_stop_arrivals ⭐
Get real-time arrival predictions at a stop.
Parameters:
area(string): Service area IDstopId(string): Stop ID from search results
Returns: Includes a comprehensive disclaimer about prediction methodology, followed by arrival data with:
- Calculation method (shape-based or straight-line)
- Confidence level (high, medium, or low)
- ETA in minutes
- Vehicle information
Prediction Methodology:
- Shape-Based Distance (Preferred): Uses actual route geometry, accurate within ±2-4 minutes
- Straight-Line Distance (Fallback): Conservative estimates with 1.4x multiplier
- Includes GPS speed validation, time-of-day adjustments, and stop dwell time
- Conservative bias: Better to arrive early than miss the bus
Example:
const arrivals = await tools.get_stop_arrivals({
area: "penang",
stopId: "stop_123"
});
// Returns disclaimer + arrival data with confidence levels
find_nearby_stops
Find stops near a location.
Parameters:
area(string): Service area IDlat(number): Latitude coordinatelon(number): Longitude coordinateradius(number, optional): Search radius in meters (default: 500)
Route Information
list_routes
List all routes in an area.
Parameters:
area(string): Service area ID
get_route_details
Get detailed route information.
Parameters:
area(string): Service area IDrouteId(string): Route ID from list_routes
get_route_geometry
Get route path for map visualization.
Parameters:
area(string): Service area IDrouteId(string): Route ID from list_routes
Real-time Data
get_live_vehicles ⭐
Get real-time vehicle positions.
Parameters:
area(string): Service area IDtype(enum, optional): Filter by type ('bus' or 'rail')
Example:
const vehicles = await tools.get_live_vehicles({ area: "penang" });
get_provider_status
Check provider operational status.
Parameters:
area(string): Service area ID
Schedule Information (NEW)
get_route_departures
Get the next N departures for a specific route (both directions).
Parameters:
area(string): Service area ID (e.g., "ipoh", "seremban", "penang")routeId(string): Route ID from list_routescount(number, optional): Number of departures to return (default: 5)
Example:
const departures = await tools.get_route_departures({
area: "ipoh",
routeId: "A32",
count: 5
});
get_next_departure
Get the single next departure for a route in a specific direction.
Parameters:
area(string): Service area IDrouteId(string): Route ID from list_routesdirection(enum, optional): 'outbound', 'inbound', or 'loop'
get_stop_routes
Get all routes serving a specific stop with their next departures.
Parameters:
area(string): Service area IDstopId(string): Stop ID from search_stopscount(number, optional): Number of departures per route (default: 3)
get_route_schedule
Get the complete daily schedule for a route.
Parameters:
area(string): Service area IDrouteId(string): Route ID from list_routes
get_route_origin
Get the origin stop name for a route in a specific direction.
Parameters:
area(string): Service area IDrouteId(string): Route ID from list_routesdirection(enum, optional): 'outbound' or 'inbound'
get_route_status
Check if a route is currently operating based on its schedule.
Parameters:
area(string): Service area IDrouteId(string): Route ID from list_routes
Fare Calculator (NEW)
get_fare_routes
Get all routes available for fare calculation in a specific area.
Parameters:
area(string): Service area ID (e.g., "ipoh", "seremban", "penang", "kangar")
Supported Areas: BAS.MY areas (Ipoh, Seremban, Kangar, Alor Setar, Kota Bharu, Kuala Terengganu, Melaka, Johor, Kuching) and Rapid Penang.
get_route_stops_for_fare
Get all stops on a route with their distances for fare calculation.
Parameters:
area(string): Service area IDrouteId(string): Route ID from get_fare_routes
calculate_fare ⭐
Calculate the bus fare between two stops on a route.
Parameters:
area(string): Service area IDrouteId(string): Route ID from get_fare_routesfromStop(string): Origin stop IDtoStop(string): Destination stop ID
Returns: Adult, concession, and child fares in MYR with disclaimer.
Example:
const fare = await tools.calculate_fare({
area: "ipoh",
routeId: "A32",
fromStop: "stop_001",
toStop: "stop_015"
});
// Returns: { adult: "1.50", concession: "0.75", child: "FREE" }
calculate_journey_fare
Calculate the total fare for a multi-leg journey with bus transfers.
Parameters:
area(string): Base service area IDlegs(array): Array of journey legs (max 5), each with:routeId(string): Route ID for this legfromStop(string): Origin stop IDtoStop(string): Destination stop IDareaId(string, optional): Area ID for this leg (for inter-area journeys)
Note: Each bus change requires a separate fare payment (BAS.MY does not have integrated transfers).
System Tools
get_system_health
Check the health status of the Malaysia Transit middleware service.
Parameters: None
get_debug_info
Get comprehensive debug information about the middleware service.
Parameters: None
Analytics Tools (NEW)
get_api_analytics
Get API usage analytics and statistics from the middleware.
Parameters:
type(enum, optional): Type of analytics to retrieve:summary(default): Overview with requests/hour, error rate, uptimeendpoints: Per-endpoint statisticsareas: Per-service-area statisticscumulative: All-time totalsclients: App/website usage breakdown
Example:
// Get summary analytics
const summary = await tools.get_api_analytics({ type: "summary" });
// Get client usage (see which apps use the API)
const clients = await tools.get_api_analytics({ type: "clients" });
get_area_analytics
Get detailed API usage analytics for a specific service area.
Parameters:
area(string): Service area ID (e.g., "penang", "klang-valley")
Example:
const penangStats = await tools.get_area_analytics({ area: "penang" });
Testing
hello
Simple test tool to verify server is working.
Usage Examples
Find When Your Bus is Coming
// 1. Detect area from location
const areaResult = await tools.detect_location_area({
location: "KTM Alor Setar"
});
// 2. Search for your stop
const stops = await tools.search_stops({
area: areaResult.area,
query: "KTM Alor Setar"
});
// 3. Get real-time arrivals
const arrivals = await tools.get_stop_arrivals({
area: areaResult.area,
stopId: stops[0].id
});
// Returns: "Bus K100(I) arrives in 1 minute, Bus K100(O) in 2 minutes"
Track Live Buses
// Get all live vehicles in Penang
const vehicles = await tools.get_live_vehicles({
area: "penang"
});
// Filter by bus only
const buses = await tools.get_live_vehicles({
area: "klang-valley",
type: "bus"
});
Discover Routes
// List all routes in Klang Valley
const routes = await tools.list_routes({
area: "klang-valley"
});
// Get detailed route information
const routeDetails = await tools.get_route_details({
area: "klang-valley",
routeId: "LRT-KJ"
});
AI Integration Guide
Key Use Cases
1. "When is my bus coming?" ⭐
This is the PRIMARY use case. Users want to know when their next bus/train will arrive.
Workflow:
1. User asks: "When is the next bus at Komtar?"
2. AI uses: detect_location_area({ location: "Komtar" })
3. AI uses: search_stops({ area: "penang", query: "Komtar" })
4. AI uses: get_stop_arrivals({ area: "penang", stopId: "..." })
5. AI responds: "Bus T101 arrives in 5 minutes, Bus T201 in 12 minutes"
2. "Where is my bus right now?"
Users want to track their bus in real-time.
Workflow:
1. User asks: "Where is bus T101 right now?"
2. AI uses: detect_location_area({ location: "Penang" })
3. AI uses: get_live_vehicles({ area: "penang" })
4. AI filters for route T101
5. AI responds: "Bus T101 is currently at [location], heading towards Airport"
Tool Usage Patterns
Always Start with Location Detection
When a user mentions a location without specifying the area, use location detection:
// User: "When is the next bus at KTM Alor Setar?"
const areaResult = await tools.detect_location_area({
location: "KTM Alor Setar"
});
// Returns: { area: "alor-setar", confidence: "high" }
Search Before Details
Always search for stops/routes before requesting details:
// ✅ CORRECT
const stops = await tools.search_stops({ area: "penang", query: "Komtar" });
const arrivals = await tools.get_stop_arrivals({
area: "penang",
stopId: stops[0].id
});
// ❌ WRONG - Don't guess stop IDs
const arrivals = await tools.get_stop_arrivals({
area: "penang",
stopId: "random_id"
});
Response Formatting
Arrival Times
Format arrival times in a user-friendly way:
// ✅ GOOD
"Bus T101 arrives in 5 minutes"
"Train LRT-KJ arrives in 2 minutes"
"Next bus: T201 in 12 minutes"
// ❌ BAD
"Arrival time: 2025-01-07T14:30:00Z"
"ETA: 1736258400000"
Multiple Arrivals
Present multiple arrivals clearly:
"Upcoming arrivals at Komtar:
• T101 → Airport: 5 minutes
• T201 → Bayan Lepas: 12 minutes
• T102 → Gurney: 18 minutes"
Error Handling
Provider Unavailable
try {
const arrivals = await tools.get_stop_arrivals({ ... });
} catch (error) {
// Check provider status
const status = await tools.get_provider_status({ area: "penang" });
if (status.providers[0].status !== "active") {
"The transit provider is currently unavailable.
Please try again later or check the official transit app."
}
}
Best Practices
- Use location detection when users mention place names
- Always specify area for every tool (except
list_service_areasanddetect_location_area) - Search before details - don't guess IDs
- Handle errors gracefully - providers may have temporary outages
- Format responses clearly - use minutes, not timestamps
- Don't cache real-time data - it updates every 30 seconds
Supported Service Areas
| Area ID | Name | Providers | Transit Types | Fare Calculator |
|---|---|---|---|---|
klang-valley | Klang Valley | Rapid Rail KL, Rapid Bus KL, MRT Feeder | Bus, Rail | ❌ |
penang | Penang | Rapid Penang | Bus | ✅ |
kuantan | Kuantan | Rapid Kuantan | Bus | ❌ |
ipoh | Ipoh | BAS.MY Ipoh | Bus | ✅ |
seremban | Seremban | BAS.MY Seremban | Bus | ✅ |
kangar | Kangar | BAS.MY Kangar | Bus | ✅ |
alor-setar | Alor Setar | BAS.MY Alor Setar | Bus | ✅ |
kota-bharu | Kota Bharu | BAS.MY Kota Bharu | Bus | ✅ |
kuala-terengganu | Kuala Terengganu | BAS.MY Kuala Terengganu | Bus | ✅ |
melaka | Melaka | BAS.MY Melaka | Bus | ✅ |
johor | Johor Bahru | BAS.MY Johor Bahru | Bus | ✅ |
kuching | Kuching | BAS.MY Kuching | Bus | ✅ |
Location to Area Mapping
The detect_location_area tool automatically maps common locations to service areas:
| User Says | Area ID |
|---|---|
| Ipoh, Bercham, Tanjung Rambutan, Medan Kidd | ipoh |
| Seremban, Nilai, Port Dickson | seremban |
| George Town, Butterworth, Bayan Lepas, Penang Sentral | penang |
| KLCC, Shah Alam, Putrajaya | klang-valley |
| Kuantan, Pekan, Bandar Indera Mahkota | kuantan |
| Kangar, Arau, Kuala Perlis, Padang Besar | kangar |
| Alor Setar, Sungai Petani, Pendang, Jitra | alor-setar |
| Kota Bharu, Rantau Panjang, Bachok, Machang, Jeli | kota-bharu |
| Kuala Terengganu, Merang, Marang, Setiu | kuala-terengganu |
| Melaka, Tampin, Jasin, Masjid Tanah | melaka |
| Johor Bahru, Iskandar Puteri, Pasir Gudang, Kulai | johor |
| Kuching, Bau, Serian, Bako, Siniawan, Matang | kuching |
Deployment
Deploy to Smithery
This MCP is designed to be deployed to Smithery:
-
Push to GitHub:
git push origin main -
Smithery will auto-deploy from your GitHub repository
-
Configure Environment Variables in Smithery:
- Go to Settings → Environment
- Add
MIDDLEWARE_URL: Your deployed middleware URL - Add
GOOGLE_MAPS_API_KEY: Your Google Maps API key (optional)
Environment Configuration
Set these environment variables in Smithery deployment settings:
MIDDLEWARE_URL=https://malaysiatransit.techmavie.digital
GOOGLE_MAPS_API_KEY=your_api_key_here
Troubleshooting
Connection Issues
If you can't connect to the middleware:
- Verify your
MIDDLEWARE_URLis correct - Ensure the middleware is running and accessible
- Check network connectivity
- Test middleware directly:
curl https://your-middleware-url/api/areas
No Data Returned
If tools return empty data:
- Check if the service area is operational using
get_provider_status - Verify the area ID is correct using
list_service_areas - Check middleware logs for errors
Real-time Data Unavailable
Real-time data depends on the upstream GTFS providers:
- Use
get_provider_statusto check provider health - Some providers may have temporary outages
- Check the middleware logs for API issues
Location Detection Not Working
If location detection returns incorrect results:
- Ensure
GOOGLE_MAPS_API_KEYis set in environment variables - Check Google Cloud Console for API quota limits
- Verify the API key has Geocoding API enabled
- Falls back to Nominatim if Google Maps fails
Requirements
- Node.js: >= 18.0.0
- Malaysia Transit Middleware: Running instance (local or deployed)
- Google Maps API Key: Optional, for enhanced location detection
Project Structure
malaysiatransit-mcp/
├── src/
│ ├── index.ts # Main MCP server entry point
│ ├── transit.tools.ts # Transit tool implementations
│ ├── geocoding.utils.ts # Location detection utilities
│ ├── inspector.ts # MCP Inspector entry point
│ └── server.ts # HTTP server for testing
├── package.json # Project dependencies
├── tsconfig.json # TypeScript configuration
├── smithery.yaml # Smithery configuration
├── .env.sample # Environment variables template
├── README.md # This file
└── LICENSE # MIT License
Related Projects
- Malaysia Open Data MCP - MCP for Malaysia's open data portal
Contributing
Contributions are welcome! Please feel free to submit pull requests or open issues.
License
MIT - See file for details.
Acknowledgments
- Malaysia Open Data Portal for GTFS data
- Prasarana Malaysia for Rapid KL services
- BAS.MY for regional bus services
- Smithery for the MCP framework
- Google Maps Platform for geocoding services
- OpenStreetMap Nominatim for fallback geocoding
Made with ❤️ by Aliff