Stockholm Public Transport AI
Provides AI agents with real-time Stockholm public transport data for answering travel-related queries.
About
This tool enables AI agents to access real-time public transport data for Stockholm, Sweden, sourced directly from SL, the local transport company. It acts as a Model Context Protocol (MCP) server, translating complex API data into a human-like format that AI chatbots can understand and leverage. Developed to explore the capabilities and challenges of MCP, it allows AI applications like Open WebUI to answer user queries about train, bus, and subway schedules in real time.
Key Features
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- Translates SL API data into AI-friendly, human-like formats
- Supports OpenAI API for integration with platforms like Open WebUI
- Exposes Stockholm public transport data via Model Context Protocol (MCP) server
- Provides real-time access to Stockholm's public transport schedules
Use Cases
- Enabling AI agents to provide accurate travel information for Stockholm
- Querying real-time public transport schedules through AI chatbots
- Experimenting with and understanding the Model Context Protocol (MCP) for agentic AI