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BirdNet-Pi MCP Server

by DMontgomery40

A Python-based Model Context Protocol (MCP) server designed for integration with BirdNet-Pi. It provides tools for retrieving, analyzing, and reporting bird detection data.

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What is BirdNet-Pi MCP Server?

The BirdNet-Pi MCP Server is a Python application that acts as a Model Context Protocol server, specifically designed to interface with BirdNet-Pi. It provides an API to access and manipulate bird detection data, audio recordings, and generate reports.

How to use BirdNet-Pi MCP Server?

  1. Clone the repository. 2. Set up a virtual environment and install dependencies. 3. Configure data directories and environment variables. 4. Run the server using python server.py. 5. Access API endpoints to retrieve data, invoke functions, and generate reports.

Key features of BirdNet-Pi MCP Server

  • Bird detection data retrieval with date and species filtering

  • Detection statistics and analysis

  • Audio recording access

  • Daily activity patterns

  • Report generation

Use cases of BirdNet-Pi MCP Server

  • Analyzing bird populations in a specific area

  • Monitoring bird activity patterns over time

  • Generating reports on bird detections for research purposes

  • Integrating bird detection data into other applications

  • Automating the process of accessing and analyzing bird detection data from BirdNet-Pi

FAQ from BirdNet-Pi MCP Server

What is the default port the server runs on?

The server runs on http://localhost:8000 by default.

How do I filter bird detections by species?

Use the getBirdDetections function and provide the species parameter.

Where are the audio recordings stored?

The default location is data/audio, but this can be configured using the BIRDNET_AUDIO_DIR environment variable.

What formats are supported for detection reports?

The generateDetectionReport function supports 'html' and 'json' formats.

How do I get detection statistics for a specific week?

Use the getDetectionStats function and set the period parameter to 'week'.