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.
Last updated: N/A
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?
- 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?
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?
How do I filter bird detections by species?
Use the getBirdDetections
function and provide the species
parameter.
Where are the audio recordings stored?
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?
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?
How do I get detection statistics for a specific week?
Use the getDetectionStats
function and set the period
parameter to 'week'.