Beach Day API now supports the Model Context Protocol (MCP), giving developers a practical way to bring beach data into AI assistants, agent workflows, destination apps, and prototypes. Beach Day MCP is available at https://beachdayapi.com/mcp over Streamable HTTP. It is embedded in the existing Beach Day API service, so you use the same account, API key, and credit system rather than creating a separate MCP service.
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Cool project! Combining beach data with AI assistants is a creative use case.
For developers building similar location-based data tools, a few practical considerations:
Data freshness matters - beach conditions change rapidly. Wave height and water temperature APIs typically update every 1-3 hours. Make sure your MCP server caches appropriately but doesn't serve stale data.
Multiple data sources - NOAA provides excellent coastal data for the US (free, no API key), but international coverage requires aggregating from multiple providers. A weather data aggregator can simplify this by combining surf, water temp, and UV index in a single call.
Fallback strategies - coastal data APIs can be unreliable during severe weather (exactly when users need the data most). Building in fallbacks to alternative data sources prevents your MCP tool from going dark when it matters most.
The MCP protocol is great for this kind of tool because it gives AI assistants structured access to real-time data without requiring the LLM to scrape websites.