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BirdNet-Pi MCP Server

by DMontgomery40
GitHub
Python
3
  • Linux
  • Apple
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Integrations

  • Used as the web framework for implementing the MCP server's API endpoints for bird detection data.

  • Used for version control and distribution of the MCP server codebase.

  • Hosts the repository for the MCP server code, enabling collaboration and distribution.

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)
  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

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

This server cannot be installed

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security - not tested
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license - not found
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quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

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.

  1. Features
    1. Requirements
      1. Installation
        1. Configuration
          1. Running the Server
            1. API Endpoints
              1. Available Functions
            2. Directory Structure

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