Provides access to Vilnius public transport data for Large Language Models (LLMs) via the Model Context Protocol (MCP).
Sponsored
This project implements a Model Context Protocol (MCP) server to grant Large Language Models (LLMs) access to real-time Vilnius public transport data, enabling them to answer queries about public transport stops and routes. It exposes MCP tools like `find_stops` (search stops by name) and `find_closest_stop` (find the closest stop to given coordinates).
주요 기능
01Exposes Vilnius public transport data to LLMs
02Implements Model Context Protocol (MCP)
03Provides tools for finding stops by name
04Provides tools for finding the closest stop to given coordinates
사용 사례
01Enabling LLMs to answer questions about Vilnius public transport
02Integrating real-time transport data into LLM applications
03Extending LLM capabilities with location-based transport information