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GrabMaps MCP Server

by hithereiamaliff
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GrabMaps MCP Server

A Model Context Protocol (MCP) server for GrabMaps API integration, providing access to GrabMaps services through AWS Location Service.

Do note that this MCP server is NOT officially affiliated with Grab, GrabMaps, or AWS Location Service.

Important: GrabMaps only supports eight countries in Southeast Asia.

  • 🇲🇾 Malaysia (MYS)

  • 🇸🇬 Singapore (SGP)

  • 🇹🇭 Thailand (THA)

  • 🇲🇲 Myanmar (MMR)

  • 🇰🇭 Cambodia (KHM)

  • 🇻🇳 Vietnam (VNM)

  • 🇵🇭 Philippines (PHL)

  • 🇮🇩 Indonesia (IDN)

Search requests outside these countries will not return accurate results.

Features

This MCP server provides access to GrabMaps functionality through two main categories:

Places Actions (Available via MCP)

  • SearchPlaceIndexForText: Forward geocoding to find places by name or address

  • SearchPlaceIndexForPosition: Reverse geocoding to find places by coordinates

  • SearchPlaceIndexForSuggestions: Get place suggestions as you type

  • GetPlace: Retrieve detailed information about a specific place

Routes Actions (Available via MCP)

  • CalculateRoute: Calculate routes between points with waypoints

  • CalculateRouteMatrix: Calculate a matrix of routes between multiple origins and destinations

Analytics & Monitoring

  • Firebase Analytics: Cloud-based analytics storage with Firebase Realtime Database

  • Local Backup: Automatic local file backup as fallback

  • Visual Dashboard: Real-time analytics dashboard with Chart.js

  • Request Tracking: Track requests by method, endpoint, client IP, and user agent

  • Tool Call Tracking: Monitor MCP tool usage and performance

Maps Functionality (Requires AWS Console)

Note: Map rendering functionality is not directly available through the MCP server. To view and use maps:

  1. Go to the AWS Location Service console

  2. Look for the Maps section and click the "Try it" button

  3. Ensure "Grab" is selected as the provider

To explore GrabMaps data coverage and see the maps in action without logging in to AWS, visit: https://grabmaps.grab.com/explore-data-coverage

Related MCP server: Google Maps MCP Server

Installation

From NPM

npm install mcp-grabmaps

From Source

git clone https://github.com/hithereiamaliff/mcp-grabmaps.git cd mcp-grabmaps npm install

Configuration

Create a .env file in the root directory with the following variables:

# GrabMaps API credentials GRABMAPS_API_KEY=your_grabmaps_api_key_here # AWS credentials for AWS Location Service AWS_ACCESS_KEY_ID=your_aws_access_key_id_here AWS_SECRET_ACCESS_KEY=your_aws_secret_access_key_here AWS_REGION=ap-southeast-5 # Default region for Malaysia (ap-southeast-1 for Singapore) # Place Index name (default for GrabMaps) PLACE_INDEX_NAME=explore.place.Grab # Map name (for rendering maps) MAP_NAME=explore.map.Grab # Route calculator name ROUTE_CALCULATOR_NAME=explore.route-calculator.Grab # Server port PORT=3000

Usage

Method 1: Running Locally

# Development mode npm run dev # Production mode npm run build npm start

Method 2: Using with Smithery

# Run in development mode npm run smithery:dev # Build for production npm run smithery:build # Deploy to Smithery npm run smithery:deploy

Testing in Smithery Playground

For the best experience testing Places and Routes APIs, we recommend using the Smithery playground:

  1. Start your MCP server locally: npm run dev

  2. Open the Smithery playground at: https://smithery.ai/playground

  3. Connect to your local MCP server: http://localhost:3000

  4. Test Places and Routes API calls using the provided examples in SMITHERY_TESTING.md

Method 3: Self-Hosted VPS Deployment

Deploy the MCP server on your own VPS with Docker and Nginx. This method supports per-user credentials via URL query parameters, allowing multiple users to connect with their own GrabMaps and AWS credentials.

VPS URL Format

https://mcp.techmavie.digital/grabmaps/mcp?grabMapsApiKey=YOUR_KEY&awsAccessKeyId=YOUR_AWS_KEY&awsSecretAccessKey=YOUR_AWS_SECRET

Query Parameters:

Parameter

Required

Description

Example

grabMapsApiKey

✅ Yes

Your GrabMaps API key

your-grabmaps-api-key

awsAccessKeyId

✅ Yes

Your AWS Access Key ID

AKIAIOSFODNN7EXAMPLE

awsSecretAccessKey

✅ Yes

Your AWS Secret Access Key

wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY

awsRegion

❌ No

AWS Region (default: ap-southeast-5)

ap-southeast-1

Client Configuration

Claude Desktop:

{ "mcpServers": { "grabmaps": { "transport": "streamable-http", "url": "https://mcp.techmavie.digital/grabmaps/mcp?grabMapsApiKey=YOUR_KEY&awsAccessKeyId=YOUR_AWS_KEY&awsSecretAccessKey=YOUR_AWS_SECRET" } } }

Cursor/Windsurf: Same format in their MCP configuration files.

Live Demo

A public instance is available at:

https://mcp.techmavie.digital/grabmaps/mcp

Provide your credentials via query parameters as shown above.

VPS Deployment

Architecture

Client (Claude, Cursor, Windsurf, etc.) ↓ HTTPS https://mcp.techmavie.digital/grabmaps/mcp ↓ Nginx (SSL termination + reverse proxy) ↓ HTTP Docker Container (port 8092 → 8080) ↓ GrabMaps MCP Server (Streamable HTTP Transport) ↓ GrabMaps API + AWS Location Service

Deployment Files

File

Description

src/http-server.ts

HTTP server with Streamable HTTP transport

Dockerfile

Container configuration for VPS

docker-compose.yml

Docker orchestration (port 8092)

deploy/nginx-mcp.conf

Nginx reverse proxy configuration

.github/workflows/deploy-vps.yml

Auto-deployment via GitHub Actions

Quick Deploy

# On your VPS mkdir -p /opt/mcp-servers/grabmaps cd /opt/mcp-servers/grabmaps git clone https://github.com/hithereiamaliff/mcp-grabmaps.git . docker compose up -d --build # Configure Nginx (add location block from deploy/nginx-mcp.conf) sudo nano /etc/nginx/sites-available/mcp.techmavie.digital sudo nginx -t sudo systemctl reload nginx

Endpoints

Endpoint

Description

/

Server info and usage instructions

/health

Health check with Firebase status

/mcp

MCP endpoint (requires credentials)

/analytics

Analytics data (JSON)

/analytics/dashboard

Visual analytics dashboard

Firebase Analytics

The VPS deployment includes Firebase Realtime Database integration for cloud-based analytics storage.

Features

  • Dual Storage: Firebase (primary) + local file backup (fallback)

  • Real-time Tracking: Requests, tool calls, client IPs, user agents

  • Visual Dashboard: Chart.js dashboard at /analytics/dashboard

  • Persistent: Analytics survive container restarts and redeployments

  • Auto-save: Saves every 60 seconds + on graceful shutdown

Analytics Data Tracked

  • Total requests and tool calls

  • Requests by method (GET, POST)

  • Requests by endpoint (/, /health, /mcp, /analytics)

  • Tool usage statistics

  • Client tracking (IP addresses, user agents)

  • Hourly request patterns

  • Recent tool call history

Firebase Setup

See FIREBASE_SETUP.md for complete setup instructions.

Quick setup:

# On VPS cd /opt/mcp-servers/grabmaps mkdir -p .credentials nano .credentials/firebase-service-account.json # Paste your Firebase service account JSON # Copy to Docker volume docker volume create grabmaps_firebase-credentials docker run --rm \ -v grabmaps_firebase-credentials:/credentials \ -v $(pwd)/.credentials:/source:ro \ alpine cp /source/firebase-service-account.json /credentials/ # Fix permissions docker run --rm \ -v grabmaps_firebase-credentials:/credentials \ alpine chown -R 1001:1001 /credentials/ # Restart docker compose down docker compose up -d --build

Viewing Analytics

  • Dashboard: https://mcp.techmavie.digital/grabmaps/analytics/dashboard

  • JSON API: https://mcp.techmavie.digital/grabmaps/analytics

  • Firebase Console: https://console.firebase.google.com/ → Your Project → Realtime Database

Firebase Data Structure

mcp-analytics/ └── mcp-grabmaps/ ├── serverStartTime: "2026-01-06T..." ├── totalRequests: 123 ├── totalToolCalls: 45 ├── requestsByMethod: {...} ├── requestsByEndpoint: {...} ├── toolCalls: {...} ├── recentToolCalls: [...] ├── clientsByIp: {...} ├── clientsByUserAgent: {...} ├── hourlyRequests: {...} └── lastUpdated: 1704470400000

Important Notes for AI Models

Supported Countries

GrabMaps ONLY supports the following eight countries in Southeast Asia:

  • Malaysia (MYS)

  • Singapore (SGP)

  • Thailand (THA)

  • Myanmar (MMR)

  • Cambodia (KHM)

  • Vietnam (VNM)

  • Philippines (PHL)

  • Indonesia (IDN)

AI models should not attempt to use GrabMaps for locations outside these countries as results will be inaccurate or non-existent.

Country Code Requirements

When using the Places API functions, AI models MUST analyze the user's query to determine the appropriate country and include the three-letter ISO country code in all requests:

{ "query": "City Square Mall", "country": "SGP" // SGP for Singapore, MYS for Malaysia, THA for Thailand, etc. }

Examples of country codes:

  • Singapore: SGP

  • Malaysia: MYS

  • Thailand: THA

  • Indonesia: IDN

  • Philippines: PHL

  • Vietnam: VNM

Including the country code is critical for returning accurate search results.

This approach allows you to test the Places and Routes functionality without needing to set up map visualization components.

Example API Calls

Forward Geocoding

const response = await fetch('http://localhost:3000/searchPlaceIndexForText', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ query: 'KLCC, Kuala Lumpur', country: 'my', maxResults: 5 }) }); const data = await response.json(); console.log(data);

Calculate Route

const response = await fetch('http://localhost:3000/calculateRoute', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ origin: { longitude: 101.6942371, latitude: 3.1516964 }, destination: { longitude: 101.7113, latitude: 3.1421 }, travelMode: 'Car' }) }); const data = await response.json(); console.log(data);

Integrating with AI Models

This MCP server can be integrated with AI models that support the Model Context Protocol. Example integration with an AI model:

// Example of how an AI model would use this MCP server const result = await mcpClient.call('grabmaps', 'searchPlaceIndexForText', { query: 'KLCC, Kuala Lumpur', country: 'my' }); // The AI model can then use the result in its response console.log(`The coordinates of KLCC are: ${result.results[0].coordinates.latitude}, ${result.results[0].coordinates.longitude}`);

AWS Location Service Setup

Before using this MCP server, you need to set up the following resources in AWS Location Service:

  1. Create a Place Index with GrabMaps as the data provider

  2. Create a Map with GrabMaps as the data provider

  3. Create a Route Calculator with GrabMaps as the data provider

Map Component Limitations and Recommended Approach

The Maps API components have certain limitations when used through the MCP server:

  • Map tiles returned by the getMapTile endpoint are binary data encoded as base64 strings

  • Font stacks for getMapGlyphs must match those supported by GrabMaps via AWS Location Service

  • Sprite filenames for getMapSprites must follow specific regex patterns

  • Maximum zoom levels are restricted (typically max zoom 14)

Recommended Approach:

  • For Maps: Use direct integration with GrabMaps via MapLibre GL and AWS Location Service as shown in the official demo

  • For Places and Routes: Use the MCP server through the Smithery playground or direct API calls

This separation allows for optimal performance and visualization while still leveraging the MCP server for Places and Routes functionality.

Official GrabMaps MapLibre GL Demo

A comprehensive demo using the official GrabMaps integration with MapLibre GL is included in the examples/official-map-demo directory. This demo provides a complete testing interface for all GrabMaps components:

  • Places API: Forward/reverse geocoding and place details

  • Maps API: Map tiles, style descriptors, sprites, and glyphs

  • Routes API: Route calculation and route matrix

The demo features a tabbed interface for easy testing of different components and provides detailed feedback for each API call.

Key Features

  • Interactive map using official GrabMaps map tiles via MapLibre GL

  • Tabbed interface for testing different GrabMaps components

  • Comprehensive testing of all API endpoints

  • Configurable API key, region, and resource names

  • Visual display of routes, search results, and map components

To run the demo:

# Start the MCP server npm start # Then open examples/official-map-demo/index.html in your browser

See the Official Map Demo README for setup and usage instructions.

Testing

A comprehensive test suite is included in the tests directory to verify all endpoints are working correctly. For detailed testing instructions, examples, and troubleshooting tips, please refer to the TESTING.md file.

To run the tests:

# Start the MCP server in one terminal npm start # Run the test suite in another terminal node tests/test-suite.js

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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