This MCP server for BirdNET-Pi and eBird analysis, developed by David Montgomery, enables AI assistants to cross-reference bird detection data from BirdNET-Pi/BirdWeather stations with eBird's extensive observation database. It integrates the BirdWeather and eBird APIs to provide tools for querying detections, species information, and observation data using natural language. Built with TypeScript and the Model Context Protocol SDK, it implements data integrity principles and offers data-driven visualizations through React artifacts. The server is designed for ornithologists, bird enthusiasts, and ecological researchers, enabling use cases like rare bird identification, migration pattern analysis, and local biodiversity assessment.
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Highlight AIRetrieves the system prompt for the server.
Accesses the BirdWeather API for weather-related bird data.
Accesses the eBird API for bird observation data.
Analyzes bird-related information based on user input.
