OpenCage Geocoding

About

This Model Context Protocol (MCP) server bridges the gap between large language models (LLMs) and the OpenCage geocoding API. It empowers LLMs with robust geocoding capabilities, allowing them to perform forward geocoding (converting addresses to latitude/longitude) and reverse geocoding (converting coordinates to human-readable addresses). Beyond core geocoding, the server also provides a tool to monitor OpenCage API usage and rate limits, making it an invaluable extension for LLMs that require precise location-based intelligence and resource management.

Key Features

• Customizable Queries: Support for country codes, bounding boxes, languages, and result limits.
• LLM Integration: Designed for seamless operation within LLM environments like Claude Desktop.
• Forward Geocoding: Convert addresses or place names to geographic coordinates.
• Reverse Geocoding: Convert coordinates (latitude/longitude) to addresses.
• API Status Monitoring: Check OpenCage API usage and rate limits.
• 16 GitHub stars

Use Cases

• Enabling LLMs to answer complex location-based queries by dynamically converting addresses or place names into coordinates.
• Allowing LLMs to identify specific addresses, provinces, or regions based on provided geographic coordinates.
• Monitoring OpenCage API usage directly within an LLM conversation to manage rate limits and query volume.