BirdNet-Pi MCP Server

A Python-based Model Context Protocol (MCP) server for BirdNet-Pi integration.

Features

• Bird detection data retrieval with date and species filtering

• Detection statistics and analysis

• Audio recording access

• Daily activity patterns

• Report generation

Related MCP server: eBird MCP Server

Requirements

• Python 3.8+

• FastAPI

• Uvicorn

• Other dependencies listed in requirements.txt

Installation

1. Clone the repository:

2. Create a virtual environment and activate it:

3. Install dependencies:

4. Set up your data directories:

Configuration

The server can be configured using environment variables:

• BIRDNET_DETECTIONS_FILE: Path to detections JSON file (default: 'data/detections.json')

• BIRDNET_AUDIO_DIR: Path to audio files directory (default: 'data/audio')

• BIRDNET_REPORT_DIR: Path to reports directory (default: 'data/reports')

Running the Server

Start the server:

The server will run on http://localhost:8000.

API Endpoints

• /functions - List available functions (GET)

• /invoke - Invoke a function (POST)

Available Functions

1. getBirdDetections

   • Get bird detections filtered by date range and species

   • Parameters: startDate, endDate, species (optional)

2. getDetectionStats

   • Get detection statistics for a time period

   • Parameters: period ('day', 'week', 'month', 'all'), minConfidence (optional)

3. getAudioRecording

   • Get audio recording for a detection

   • Parameters: filename, format ('base64' or 'buffer')

4. getDailyActivity

   • Get bird activity patterns for a specific day

   • Parameters: date, species (optional)

5. generateDetectionReport

   • Generate a report of detections

   • Parameters: startDate, endDate, format ('html' or 'json')

Directory Structure