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by oalles • Uncategorized
An MCP server that integrates geocoding and timezone services to provide location-based information via an LLM interface.
Obtain geographic coordinates for a given city.
Retrieve timezone information based on latitude and longitude.
That require integration of external geolocation and timezone data within AI model workflows.
This project demonstrates how to build an MCP server using Spring AI within Spring Boot applications. It integrates two microservices—Geocoder and Timezone services—accessible via MCP clients, enabling an LLM to query and retrieve geographic coordinates and timezone details for a given city. The solution leverages Spring AI's MCP support to streamline contextual interactions and tool integrations, enhancing AI model capabilities with external data.