lightyoruichi/datagovmy-mcp

Add via the Amp VS Code extension settings screen or by updating your settings.json file:

"amp.mcpServers": {
  "datagovmy": {
    "command": "npx",
    "args": [
      "-y",
      "@lightyoruichi/datagovmy-mcp"
    ]
  }
}

Amp CLI Setup:

Add via the amp mcp add command below

amp mcp add datagovmy -- npx -y @lightyoruichi/datagovmy-mcp

Use the Claude Code CLI to add the Malaysia Data Government MCP server:

claude mcp add datagovmy npx -y @lightyoruichi/datagovmy-mcp

Follow the MCP install guide, use the standard config above.

Configuration file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

After adding the configuration, restart Claude Desktop.

Use the Codex CLI to add the Malaysia Data Government MCP server:

codex mcp add datagovmy npx "-y" "@lightyoruichi/datagovmy-mcp"

Alternatively, create or edit the configuration file ~/.codex/config.toml and add:

[mcp_servers.datagovmy]
command = "npx"
args = ["-y", "@lightyoruichi/datagovmy-mcp"]

For more information, see the Codex MCP documentation.

Use the Copilot CLI to interactively add the Malaysia Data Government MCP server:

/mcp add

Alternatively, create or edit the configuration file ~/.copilot/mcp-config.json and add:

{
  "mcpServers": {
    "datagovmy": {
      "type": "local",
      "command": "npx",
      "tools": [
        "*"
      ],
      "args": [
        "-y",
        "@lightyoruichi/datagovmy-mcp"
      ]
    }
  }
}

For more information, see the Copilot CLI documentation.

Click the button to install:

Or install manually:

Go to Cursor Settings -> MCP -> Add new MCP Server. Name to your liking, use command type with the command npx -y @lightyoruichi/datagovmy-mcp. You can also verify config or add command like arguments via clicking Edit.

Use the Factory CLI to add the Malaysia Data Government MCP server:

droid mcp add datagovmy "npx -y @lightyoruichi/datagovmy-mcp"

Alternatively, type /mcp within Factory droid to open an interactive UI for managing MCP servers.

For more information, see the Factory MCP documentation.

Follow the MCP install guide, use the standard config above.

Click the button to install:

Or install manually:

Go to Advanced settings -> Extensions -> Add custom extension. Name to your liking, use type STDIO, and set the command to npx -y @lightyoruichi/datagovmy-mcp. Click "Add Extension".

Follow the MCP Servers documentation. For example in .kiro/settings/mcp.json:

{
  "mcpServers": {
    "datagovmy": {
      "command": "npx",
      "args": [
        "-y",
        "@lightyoruichi/datagovmy-mcp"
      ]
    }
  }
}

Click the button to install:

Or install manually:

Go to Program in the right sidebar -> Install -> Edit mcp.json. Use the standard config above.

Follow the MCP Servers documentation. For example in ~/.config/opencode/opencode.json:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "datagovmy": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@lightyoruichi/datagovmy-mcp"
      ],
      "enabled": true
    }
  }
}

Open Qodo Gen chat panel in VSCode or IntelliJ → Connect more tools → + Add new MCP → Paste the standard config above.

Click Save.

Click the button to install:

Or install manually:

Follow the MCP install guide, use the standard config above. You can also install the Malaysia Data Government MCP server using the VS Code CLI:

# For VS Code
code --add-mcp '{"name":"datagovmy","command":"npx","args":["-y","@lightyoruichi/datagovmy-mcp"]}'

After installation, the Malaysia Data Government MCP server will be available for use with your GitHub Copilot agent in VS Code.

Go to Settings -> AI -> Manage MCP Servers -> + Add to add an MCP Server. Use the standard config above.

Alternatively, use the slash command /add-mcp in the Warp prompt and paste the standard config from above:

{
  "mcpServers": {
    "datagovmy": {
      "command": "npx",
      "args": [
        "-y",
        "@lightyoruichi/datagovmy-mcp"
      ]
    }
  }
}

Follow Windsurf MCP documentation. Use the standard config above.

• gdp - Gross Domestic Product
• gdp_qtr - GDP by Quarter
• gdp_annual - GDP Annual
• ppi - Producer Price Index
• trade - International Trade
• banking - Banking Statistics
• foreign_exchange - Foreign Exchange Rates
• property_prices - Property Prices

Keywords: economy, gdp, growth, national accounts, trade, finance

• cpi - Consumer Price Index
• cpi_core - Core Consumer Price Index
• inflation - Inflation Rate
• fuelprice - Weekly Fuel Prices (RON95, RON97, Diesel)
• ppi - Producer Price Index

Keywords: prices, inflation, cpi, cost of living, fuel, petrol

• population - Population Statistics
• population_malaysia - Population of Malaysia
• population_state - Population by State
• births - Live Births
• deaths - Deaths
• marriage - Marriages
• divorce - Divorces

Keywords: population, demography, births, deaths, fertility, mortality

• unemployment - Unemployment Rate
• lfs_monthly - Labour Force Survey (Monthly)
• wages - Wages and Salaries

Keywords: unemployment, labour, jobs, work, employment, workforce, wages, salary

• healthcare - Healthcare Statistics
• blood_donation - Blood Donation
• hospital_beds - Hospital Beds
• covid_cases - COVID-19 Cases
• covid_vaccination - COVID-19 Vaccination

Keywords: healthcare, medical, health, hospitals, covid, pandemic

• poverty - Poverty Statistics
• hh_income - Household Income

Keywords: poverty, income, household, earnings, welfare

• electricity - Electricity Statistics
• renewable_energy - Renewable Energy
• rainfall - Rainfall Data
• air_quality - Air Quality Index
• water_quality - Water Quality

Keywords: environment, energy, electricity, renewable, weather, climate, pollution

• crime - Crime Statistics

Keywords: crime, safety, police, law enforcement

• traffic - Traffic Data
• vehicle_registration - Vehicle Registration
• public_transport - Public Transport Ridership

Keywords: traffic, transportation, vehicles, cars, bus, train

• agriculture - Agricultural Production
• manufacturing - Manufacturing Statistics
• construction - Construction Statistics

Keywords: agriculture, farming, manufacturing, industry, construction

• education - Education Statistics

Keywords: education, schools, students, enrollment

• tourist_arrivals - Tourist Arrivals

Keywords: tourism, tourists, arrivals, travel

• query_opendosm
  • Title: Query OpenDOSM Dataset
  • Description: Query an OpenDOSM dataset (Department of Statistics Malaysia)
  • Parameters:
    • dataset_id (string, required): Dataset ID (e.g., 'cpi_core', 'gdp', 'population')
    • filters (string, optional): JSON string of filter parameters (e.g., '{"date": "2024-01-01"}')
    • limit (integer, optional): Maximum number of records to return (default: 100)
    • offset (integer, optional): Number of records to skip for pagination (default: 0)
  • Read-only: false
  • Example use cases:
    • Get latest CPI data: dataset_id='cpi_core', limit=10
    • Get GDP data for specific date: dataset_id='gdp', filters='{"date": "2024-01-01"}'

• query_data_catalogue
  • Title: Query Data Catalogue Dataset
  • Description: Query a Data Catalogue dataset (broader government data)
  • Parameters:
    • dataset_id (string, required): Dataset ID (e.g., 'fuelprice', 'healthcare', 'crime')
    • filters (string, optional): JSON string of filter parameters (e.g., '{"date": "2024-01-01"}')
    • limit (integer, optional): Maximum number of records to return (default: 100)
    • offset (integer, optional): Number of records to skip for pagination (default: 0)
  • Read-only: false
  • Example use cases:
    • Get latest fuel prices: dataset_id='fuelprice', limit=5
    • Get filtered data: dataset_id='fuelprice', filters='{"date": "2024-12-01"}'

• get_dataset_metadata
  • Title: Get Dataset Metadata
  • Description: Get metadata for a dataset without fetching the actual data records
  • Parameters:
    • dataset_id (string, required): Dataset ID to get metadata for
    • source (string, required): Data source - either 'opendosm' or 'data_catalogue'
  • Read-only: true
  • Example use cases:
    • Get fuel price metadata: dataset_id='fuelprice', source='data_catalogue'
    • Get CPI metadata: dataset_id='cpi_core', source='opendosm'

• list_datasets
  • Title: List Available Datasets
  • Description: List all available datasets with optional filtering
  • Parameters:
    • source (string, optional): Filter by source - 'opendosm', 'data_catalogue', or None for all
    • category (string, optional): Filter by category (e.g., 'Prices', 'Demography', 'Economy')
    • limit (integer, optional): Maximum number of datasets to return (default: 100)
    • offset (integer, optional): Number of datasets to skip for pagination (default: 0)
  • Read-only: true
  • Example use cases:
    • List all datasets: (no parameters)
    • List OpenDOSM datasets: source='opendosm'
    • List price-related datasets: category='Prices'

• search_datasets
  • Title: Search Datasets
  • Description: Search for datasets by keyword
  • Parameters:
    • query (string, required): Search query (searches in name, description, keywords, and ID)
    • source (string, optional): Filter by source - 'opendosm', 'data_catalogue', or None for all
    • limit (integer, optional): Maximum number of results to return (default: 10)
  • Read-only: true
  • Example use cases:
    • Search for fuel data: query='fuel'
    • Search for GDP: query='gdp'
    • Search for population: query='population'

• get_dataset_schema
  • Title: Get Dataset Schema
  • Description: Get schema, metadata, and sample data for a dataset
  • Parameters:
    • dataset_id (string, required): Dataset ID to get schema for
    • source (string, required): Data source - either 'opendosm' or 'data_catalogue'
  • Read-only: true
  • Example use cases:
    • Get fuel price schema: dataset_id='fuelprice', source='data_catalogue'
    • Get GDP schema: dataset_id='gdp', source='opendosm'