A
securityF
licenseA
qualityProvides access to the Australian Bureau of Statistics (ABS) Data API. This server allows AI assistants to query and analyze ABS statistical data.
Last updated -
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Australian Postcodes MCP Server
A high-performance MCP (Model Context Protocol) server providing Australian postcode and suburb data with intelligent fuzzy matching, designed specifically for AI assistants handling customer service interactions.
Features
🔍 Core Search Capabilities
Postcode to Suburbs: Find all suburbs for a given postcode
Suburb to Postcodes: Find postcodes for suburbs (with fuzzy matching)
Smart Validation: Verify suburb-postcode combinations
LGA Queries: List all suburbs in a Local Government Area (city/council)
🎯 AI-Optimized Features
Fuzzy Matching: Handles typos and misspellings with confidence scoring
Phonetic Search: Matches spoken names that may be misheard
Autocomplete: Suggests completions for partial suburb names
Smart Suggestions: Provides alternatives when exact matches aren't found
Geographic Search: Find nearby suburbs within a radius
📊 Data Coverage
~17,000 Australian postcodes and suburbs
Local Government Areas (LGAs)
Statistical Areas (SA3/SA4)
Geographic coordinates (latitude/longitude)
Electoral divisions
State and region information
Quick Start
Installation
# Clone the repository
git clone https://github.com/yourusername/australian-postcodes-mcp.git
cd australian-postcodes-mcp
# Install dependencies
pip install -r requirements.txt
# Import postcode data
python src/utils/data_loader.py
# Test locally
fastmcp dev src/server.py
Usage with Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"australian-postcodes": {
"command": "fastmcp",
"args": ["run", "/path/to/australian-postcodes-mcp/src/server.py"]
}
}
}
Available Tools
Search Tools
search_by_postcode- Find suburbs for a postcodesearch_by_suburb- Find postcodes for a suburbvalidate_suburb_postcode- Verify a combination is validget_location_details- Smart search accepting either postcode or suburb
Fuzzy Matching Tools
find_similar_suburbs- Find closest matches for misspelled suburbsautocomplete_suburb- Get completions for partial namesvalidate_spelling- Suggest spelling correctionsphonetic_search- Handle phone-misheard names
Location Tools
list_suburbs_in_lga- All suburbs in a Local Government Areafind_lga_for_suburb- Get the LGA/city for a suburblist_suburbs_in_radius- Find nearby postcodes within radiusget_neighboring_suburbs- Find adjacent areas
Analytics Tools
get_state_statistics- Postcode and suburb counts by statelist_all_lgas- Available Local Government Areassearch_by_region- Query by statistical area
Examples
Basic Search
# Find suburbs for postcode 2300
result = await search_by_postcode("2300")
# Returns: Newcastle, Newcastle West, etc.
# Find postcode for suburb
result = await search_by_suburb("Newcastle", state="NSW")
# Returns: 2300
Fuzzy Matching
# Handle misspellings
result = await find_similar_suburbs("Newcaslte", state="NSW")
# Returns: Newcastle (confidence: 0.92), New Lambton (confidence: 0.75)
# Phonetic search
result = await phonetic_search("new castle")
# Returns: Newcastle, Newcastle West
LGA Queries
# List suburbs in Newcastle LGA
result = await list_suburbs_in_lga("Newcastle", state="NSW")
# Returns: All suburbs in Newcastle city council area
Deployment
FastMCP Cloud (Recommended)
Push to GitHub
Connect repository at fastmcp.cloud
Configure environment variables
Deploy with one click
Local Development
# Run development server
fastmcp dev src/server.py
# Run production server
python src/server.py
Data Source
Data sourced from the community-maintained Australian Postcodes repository.
Performance
SQLite with optimized indexes for fast queries
Sub-100ms response time for most queries
Efficient fuzzy matching using rapidfuzz library
Cached phonetic encodings for voice queries
Contributing
Contributions welcome! Please see CONTRIBUTING.md for guidelines.
License
MIT License - See LICENSE for details.
Support
For issues or questions, please open an issue on GitHub or contact the maintainers.
Built with FastMCP for the Model Context Protocol
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Enables AI assistants to search, validate, and retrieve Australian postcode and suburb data with intelligent fuzzy matching for handling misspellings and voice queries. Provides comprehensive location services including geographic search, Local Government Area queries, and suburb-postcode validation for customer service interactions.
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