mcp local server

Local 2025-09-01 00:16:16 0

A Python-based server that enables accessing and analyzing bird detection data through the Model Context Protocol, offering features like filtering detections, accessing audio recordings, and generating reports.


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

  2. Create a virtual environment and activate it:

    python -m venv venv
    source venv/bin/activate  # On Windows use: venvScriptsactivate

  3. Install dependencies:

    pip install -r requirements.txt

  4. 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
  2. Get bird detections filtered by date range and species
  3. Parameters: startDate, endDate, species (optional)

  4. getDetectionStats

  5. Get detection statistics for a time period
  6. Parameters: period ('day', 'week', 'month', 'all'), minConfidence (optional)

  7. getAudioRecording

  8. Get audio recording for a detection
  9. Parameters: filename, format ('base64' or 'buffer')

  10. getDailyActivity

  11. Get bird activity patterns for a specific day
  12. Parameters: date, species (optional)

  13. generateDetectionReport

  14. Generate a report of detections
  15. 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