mcpField
A
address-parser

address-parser

github.com/dkyazzentwatwaData & databases12457 installsUpdated 29w ago
Repository

About address-parser

address-parser is a command-line skill for turning unstructured addresses into structured fields. It supports multiple country formats and can process a CSV column in batches.

Key features

  1. 01Extract street, city, state, ZIP, and country
  2. 02Normalize address formats
  3. 03Validate address components
  4. 04Process multiple addresses from CSV
  5. 05Support multiple country formats
  6. 06Prepare output for geocoding APIs

Use cases

  1. 01Structure addresses in a CSV contact list
  2. 02Standardize address data before analysis

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill address-parser

After installing, type/address-parserin Claude Code to confirm it loaded.

Bundled filesscripts/address_parser.pyscripts/requirements.txt

Details

From the project README

Address Parser

Parse unstructured addresses into structured fields.

Features

  • Component Extraction: Street, city, state, zip, country
  • Format Standardization: Normalize address formats
  • Validation: Verify address components
  • Batch Processing: Parse multiple addresses
  • International Support: Multiple country formats
  • Geocoding Ready: Output for geocoding APIs

CLI Usage

python address_parser.py --input addresses.csv --column address --output parsed.csv

Dependencies

  • pandas>=2.0.0

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