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BirdNet-Pi MCP Server: Real-Time Species ID & Rugged Pi Tech - MCP Implementation

BirdNet-Pi MCP Server: Real-Time Species ID & Rugged Pi Tech

BirdNet-Pi MCP Server: The ultimate AI-powered bird detection hub for eco-enthusiasts – real-time species ID, rugged Pi tech, and seamless data mirroring. Nature's soundtrack, decoded!

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48% of users reported increased productivity after just one week

About BirdNet-Pi MCP Server

What is BirdNet-Pi MCP Server: Real-Time Species ID & Rugged Pi Tech?

BirdNet-Pi MCP Server is a specialized Python-based backend service designed to integrate real-time bird species detection with robust Raspberry Pi hardware capabilities. It provides a structured API layer for retrieving, analyzing, and managing detection data, audio recordings, and activity patterns. The system leverages the Model Context Protocol (MCP) framework to enable seamless interaction with BirdNet-Pi deployments in field environments.

How to Use BirdNet-Pi MCP Server: Real-Time Species ID & Rugged Pi Tech?

Installation Workflow

  1. Clone the repository and navigate to the directory
  2. Create and activate a Python virtual environment
  3. Install dependencies via requirements.txt
  4. Configure data directories for audio and reports

Configuration & Execution

Adjust environment variables for data paths using BIRDNET_* prefixes. Launch the server with python server.py to access endpoints at http://localhost:8000.

BirdNet-Pi MCP Server Features

Key Features of BirdNet-Pi MCP Server: Real-Time Species ID & Rugged Pi Tech?

  • Filterable Detection Retrieval: Narrow results by date ranges and species classifications
  • Statistical Analysis: Generate time-based detection metrics with confidence thresholds
  • Audio Integration: Access raw recordings linked to specific detections
  • Pattern Recognition: Visualize daily activity cycles for species monitoring
  • Automated Reporting: Export detection summaries in HTML or JSON formats

Use Cases of BirdNet-Pi MCP Server: Real-Time Species ID & Rugged Pi Tech?

Researchers utilize the system for:

  • Ecological surveys in remote habitats
  • Conservation projects tracking endangered species
  • Environmental impact assessments using long-term data
  • Acoustic monitoring networks with automated reporting

BirdNet-Pi MCP Server FAQ

Frequently Asked Questions

Compatibility & Troubleshooting

  • Q: What Python versions are supported?
    Officially tested with Python 3.8+
  • Q: How do I handle dependency conflicts?
    Use virtual environments to isolate project dependencies
  • Q: Can I customize audio formats?
    Supported codecs include WAV and FLAC via configuration

Content

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

Requirements

  • Python 3.8+
  • FastAPI
  • Uvicorn
  • Other dependencies listed in requirements.txt

Installation

  1. Clone the repository:
git clone https://github.com/YourUsername/mcp-server.git
cd mcp-server
  1. Create a virtual environment and activate it:
python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Set up your data directories:
mkdir -p data/audio data/reports

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:

python server.py

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)
  1. getDetectionStats
* Get detection statistics for a time period
* Parameters: period ('day', 'week', 'month', 'all'), minConfidence (optional)
  1. getAudioRecording
* Get audio recording for a detection
* Parameters: filename, format ('base64' or 'buffer')
  1. getDailyActivity
* Get bird activity patterns for a specific day
* Parameters: date, species (optional)
  1. generateDetectionReport
* Generate a report of detections
* Parameters: startDate, endDate, format ('html' or 'json')

Directory Structure

mcp-server/
├── birdnet/
│   ├── __init__.py
│   ├── config.py
│   ├── functions.py
│   └── utils.py
├── data/
│   ├── audio/
│   └── reports/
├── server.py
├── requirements.txt
└── README.md

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