Australian Bureau of Statistics (ABS)
About
Provides access to the Australian Bureau of Statistics (ABS) Data API. This server allows AI assistants to query and analyze ABS statistical data.
Details
- Author
- seansoreilly
- Repository
- seansoreilly/mcp-server-abs
- GitHub stars
- 3
- Downloads
- 1
- Tags
- #data
Jump to
- Dynamic discovery of all available ABS datasets via SDMX-ML API
- Query ABS datasets with optional filters
- Support for multiple data formats (JSON, CSV, XML)
- Built on the MCP protocol for seamless integration with AI assistants
- Caching system for improved performance
- Comprehensive logging and error handling
Setting up with Highlight
Follow these steps to add this server as a custom Highlight plugin:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Australian Bureau of Statistics (ABS)Command (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
npm install
npm start
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"australian bureau of statistics (abs)": {
"env": {},
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
}
}
Linux
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
Macos
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
Windows
{
"env": [],
"args": [
"/c",
"npx",
"-y",
"@highlight/mcp-server"
],
"command": "cmd"
}
ABS MCP Server
An MCP (Model Context Protocol) server that provides access to the Australian Bureau of Statistics (ABS) Data API. This server allows AI assistants to query and analyze ABS statistical data through the SDMX-ML API.
Features
- Dynamic discovery of all available ABS datasets via SDMX-ML API
- Query ABS datasets with optional filters
- Support for multiple data formats (JSON, CSV, XML)
- Built on the MCP protocol for seamless integration with AI assistants
- Caching system for improved performance
- Comprehensive logging and error handling
Installation
npm install
Development
Prerequisites
- Node.js 18 or higher
- npm 8 or higher
Building
npm run build
Running
npm start
Development Tools
- npm run build: Build the TypeScript code
- npm start: Run the server
- npm run inspector: Run the MCP inspector for testing
Project Structure
src/
├── index.ts # Main server implementation
├── services/
│ └── abs/
│ ├── ABSApiClient.ts # ABS API communication
│ └── DataFlowService.ts # Data flow management and caching
├── types/
│ └── abs.ts # TypeScript type definitions
└── utils/
└── logger.ts # Logging configuration
Implementation Details
ABS API Client
The ABSApiClient class handles communication with the ABS Data API:
- Uses SDMX-ML format for data exchange
- Supports multiple response formats (JSON, CSV, XML)
- Implements proper error handling and logging
- Configurable timeouts and retries
Data Flow Service
The DataFlowService class manages ABS data flows:
- Dynamically fetches available datasets from ABS API
- Implements caching with configurable refresh intervals
- Provides methods for querying specific datasets
- Handles data transformation and formatting
Logging
Comprehensive logging system using Winston:
- Debug-level logging for development
- Structured JSON logging format
- Console and file transport options
- Configurable log levels and formats
Integration with Claude Desktop
1. Close Claude Desktop if it's running
2. Start the ABS MCP server: npm start
3. Start Claude Desktop
4. The ABS tools should appear in the "Available MCP Tools" window
API Documentation
For more information about the ABS Data API:
- SDMX-ML Documentation
- ABS API Documentation
Contributing
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request
License
MIT License
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