D

Dmontgomery40 MCP Local Server

A Python - based BirdNet - Pi integrated MCP server that provides functions for bird detection data retrieval, statistical analysis, and report generation.
2 points
16

What is the BirdNet-Pi MCP Server?

This is a server system specifically designed for bird monitoring, capable of automatically detecting, recording, and analyzing bird activities. It can help researchers, birdwatchers, or environmental protection organizations easily obtain bird activity data.

How to use the BirdNet-Pi MCP Server?

Through simple API calls, you can query bird detection records for a specific time period, obtain statistical data, or generate reports. No professional technical knowledge is required.

Use cases

Suitable for scenarios such as ecological research, bird conservation, campus biodiversity monitoring, and personal bird - watching records.

Main features

Bird detection data queryFilter bird detection records by date range and species
Statistical analysisProvide detection statistics for different time dimensions such as daily, weekly, and monthly
Audio record accessObtain the sound records of detected birds
Activity pattern analysisAnalyze the activity patterns of birds on specific dates
Report generationAutomatically generate detection reports in HTML or JSON format

Advantages and limitations

Advantages
Simple and easy - to - use API interface
Flexible data filtering and query functions
Provide multiple data analysis dimensions
Support audio record playback
Limitations
Requires a pre - installed Python environment
Audio files may take up a large amount of storage space
Detection accuracy is affected by environmental noise

How to use

Installation preparation
Ensure that Python 3.8 or a higher version is installed
Get the software
Clone the project repository from GitHub
Set up the environment
Create and activate a virtual environment
Install dependencies
Install the required Python libraries
Start the service
Run the server program

Usage examples

Query bird activities on a specific dateA researcher wants to know the bird species that appeared at the monitoring site on May 15, 2023.
Generate a monthly reportAn environmental protection organization needs a summary report of bird activities in April 2023.
Analyze the daily activity pattern of birdsA birdwatcher wants to know the peak activity periods of sparrows in a day.

Frequently Asked Questions

What kind of hardware configuration is required to run this service?
How to add a new bird identification model?
What does the confidence level of the detection result represent?
How many bird species can the service support for identification?
How to back up the detection data?

Related resources

GitHub repository
Project source code and the latest version
FastAPI documentation
Documentation for the Web framework used by the server
Bird identification guide
Reference for common bird identification
Installation tutorial video
Step - by - step guidance on installation and configuration
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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