mcp-server-birdstats

Cross-reference your BirdNET-Pi data with eBird observations using natural language

Overview

This MCP plugin allows you to analyze BirdNET-Pi/BirdWeather detections by connecting them with eBird's extensive database. It follows the single-file logic structure similar to mcp-webresearch.

Features

• Natural language interface for querying bird data
• Cross-reference BirdWeather detections with eBird observations
• Analyze detection patterns and highlight unusual birds
• Data-driven visualizations
• Strict data integrity (no example/fake data)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/mcp-server-birdstats.git

2. Install dependencies:

npm install

3. Build the project:

npm run build

Configuration

You'll need to set up the following environment variables:

• BIRDWEATHER_API_TOKEN: Your BirdWeather API token
• EBIRD_API_TOKEN: Your eBird API token

Usage

The plugin processes natural language queries about your bird detection data. Example queries:

• "My BirdNET heard a Swainson's Thrush - is that unusual?"
• "What's my station's rarest detection this week?"
• "Graph my detections by time of day"
• "Are others seeing these warblers on eBird?"

Data Integrity

This plugin strictly adheres to data integrity principles:

• Only uses actual API response data
• Never creates example or estimated data
• Always shows observation counts with percentages
• Clear indication when data is unavailable

Core Logic

The core functionality is contained in a single text file under src/index.txt which includes:

• BirdWeather API interactions
• eBird API interactions
• Data analysis functions
• Type definitions
• Helper utilities

API Integration

BirdWeather API

• Station statistics
• Species lists
• Detection records

eBird API

• Recent observations
• Notable sightings
• Hotspot data
• Species information

Development

The project uses TypeScript and follows a modular architecture:

mcp-server-birdstats/
├── src/
│   └── index.txt        # Core logic in single file
├── package.json         # Dependencies and scripts
├── tsconfig.json        # TypeScript configuration
└── README.md           # Documentation

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

Privacy & Security

• Station tokens are never exposed
• Location privacy settings are respected
• User data is handled securely

Error Handling

The plugin includes robust error handling:

• Graceful API failure handling
• Clear error messages
• Data validation
• Parameter verification

Performance

Performance considerations:

• Response caching when appropriate
• Request size limits
• Pagination for large datasets

License

MIT

Support

For issues and feature requests, please open an issue on the GitHub repository.